Tootfinder

Invariant inter-subject relational structures in high order human visual cortex #neuroscience

Invariant inter-subject relational structures in high order human visual cortex - Nature Communications
The neuronal coding principles that underlie inter-individual perceptual similarities remains unclear. Here, the authors compared the stability of relational similarity versus activation patterns across brains and found that relational similarity was preferentially consistent across individuals, potentially underlying shared inter-subject perception.

End-to-end Topographic Auditory Models Replicate Signatures of Human Auditory Cortex
Haider Al-Tahan, Mayukh Deb, Jenelle Feather, N. Apurva Ratan Murty
https://arxiv.org/abs/2509.24039

End-to-end Topographic Auditory Models Replicate Signatures of Human Auditory Cortex
The human auditory cortex is topographically organized. Neurons with similar response properties are spatially clustered, forming smooth maps for acoustic features such as frequency in early auditory areas, and modular regions selective for music and speech in higher-order cortex. Yet, evaluations for current computational models of auditory perception do not measure whether such topographic structure is present in a candidate model. Here, we show that cortical topography is not present in the …

macaque_neural: Macaque cortical connectivity (Young)
A network of cortical regions in the Macaque cortex.
This network has 47 nodes and 505 edges.
Tags: Biological, Connectome, Unweighted
https://networks.skewed.de/net/macaque_neural
Ridiculogram:

Bedrohungsszenarien für Mitarbeiter*innen - z. B. Ankündigung von Massenentlassungen - sind für Organisationen unglaublich teuer. Nach solchen Botschaften ist "Business as usual" nicht mehr möglich und die Produktivität der Bezroffenen sinkt um 30-40%.
#Neurobiologie

𝗧𝗼𝘄𝗻 𝗛𝗮𝗹𝗹 𝗠𝗲𝗲𝘁𝗶𝗻𝗴, 𝟭𝟬 𝗨𝗵𝗿. 𝗞𝗲𝗿𝘀𝘁𝗶𝗻𝘀 𝗖𝗘𝗢 𝘀𝘁𝗲𝗵𝘁 𝗮𝘂𝗳 𝗱𝗲𝗿 𝗕𝘂̈𝗵𝗻𝗲: "Wir müssen uns neu aufstellen. Standorte werden geschlossen. Details folgen… | Dr. Orell Mielke | 70 Kommentare
𝗧𝗼𝘄𝗻 𝗛𝗮𝗹𝗹 𝗠𝗲𝗲𝘁𝗶𝗻𝗴, 𝟭𝟬 𝗨𝗵𝗿. 𝗞𝗲𝗿𝘀𝘁𝗶𝗻𝘀 𝗖𝗘𝗢 𝘀𝘁𝗲𝗵𝘁 𝗮𝘂𝗳 𝗱𝗲𝗿 𝗕𝘂̈𝗵𝗻𝗲: "Wir müssen uns neu aufstellen. Standorte werden geschlossen. Details folgen später." Bumm! Ihr Gehirn übersetzt in Millisekunden: GEFAHR. Dann beginnt die neurologische Hölle. 𝗪𝗮𝘀 𝗴𝗲𝗿𝗮𝗱𝗲 𝗶𝗻 𝗞𝗲𝗿𝘀𝘁𝗶𝗻𝘀 𝗞𝗼𝗽𝗳 𝗽𝗮�…

CORTEX: Composite Overlay for Risk Tiering and Exposure in Operational AI Systems
Aoun E Muhammad, Kin Choong Yow, Jamel Baili, Yongwon Cho, Yunyoung Nam
https://arxiv.org/abs/2508.19281

CORTEX: Composite Overlay for Risk Tiering and Exposure in Operational AI Systems
As the deployment of Artificial Intelligence (AI) systems in high-stakes sectors - like healthcare, finance, education, justice, and infrastructure has increased - the possibility and impact of failures of these systems have significantly evolved from being a theoretical possibility to practical recurring, systemic risk. This paper introduces CORTEX (Composite Overlay for Risk Tiering and Exposure), a multi-layered risk scoring framework proposed to assess and score AI system vulnerabilities, d…

A solution to the mystery of the sub-harmonic series and to the combination tone via a linear mathematical model of the cochlea
Ugo Boscain (SU, CNRS, CaGE, LJLL), Xiangyu Ma (SU, CNRS, CaGE, LJLL), Dario Prandi (L2S, CNRS), Giuseppina Turco (LLF - UMR7110, CNRS, UPCit\'e)
https://arxiv.org/abs/2509.26395…

A solution to the mystery of the sub-harmonic series and to the combination tone via a linear mathematical model of the cochlea
In this paper, we study a simple linear model of the cochlea as a set of vibrating strings. We make hypothesis that the information sent to the auditory cortex is the energy stored in the strings and consider all oscillation modes of the strings. We show the emergence of the sub-harmonic series whose existence was hypothesized in the XVI century to explain the consonance of the minor chord. We additionally show how the nonlinearity of the energy can be used to study the emergence of the combina…

To ChatGPT: What will be the likely "Butcher number" of a Neuralink Blindsight brain implant in visual cortex? Butcher number (Meister, 2019): the number ratio of damaged or killed neurons and stimulated or recorded neurons. https://chatgpt.com/share/6903cdc4-5c18-8004-99e…

🇺🇦 #NowPlaying on KEXP's #DriveTime
El Michels Affair:
🎵 Cortex
#ElMichelsAffair
https://elmichelsaffair.bandcamp.com/track/cortex
https://open.spotify.com/track/3Bscjjap5sKCtpNR3sj2yG

Palo Alto Networks launches Cortex AgentiX, AI agents that can be deployed across various security vendor platforms to automate cybersecurity actions (Samantha Subin/CNBC)
https://www.cnbc.com/2025/10/28/palo-alto-networks-debuts-new-tk-agent-to-fight-…

Palo Alto Networks debuts automated AI agents to fight cyberattacks
Palo Alto Networks launched new AI agents on Tuesday that allow customers to automate certain cybersecurity actions.

« Adult human cortex does not reorganize after amputation » (and certainly also for other species). So, do not trust textbooks (or LLMs that statistically parameterize those). #brain #plasticity #neuroscience

Adult human cortex does not reorganize after amputation
The results from a new longitudinal study contradict classic findings in monkeys but may not warrant a rewriting of the textbooks just yet.

Neural representation of nouns and verbs in congenitally blind and sighted individuals https://www.nature.com/articles/s41467-025-63423-0 "In blind individuals, language processing activates not only classic language networks, but also the 'visual' cortex."

Neural representation of nouns and verbs in congenitally blind and sighted individuals - Nature Communications
In blind individuals, language processing activates the brain visual areas. Here, researchers show that these activations might primarily reflect physical parameters of objects and actions, retrieved from linguistic meaning.

A Bio-Inspired Minimal Model for Non-Stationary K-Armed Bandits
Krubeal Danieli, Mikkel Elle Lepper{\o}d
https://arxiv.org/abs/2509.22209 https://arxiv.org…

A Bio-Inspired Minimal Model for Non-Stationary K-Armed Bandits
While reinforcement learning algorithms have made significant progress in solving multi-armed bandit problems, they often lack biological plausibility in architecture and dynamics. Here, we propose a bio-inspired neural model based on interacting populations of rate neurons, drawing inspiration from the orbitofrontal cortex and anterior cingulate cortex. Our model reports robust performance across various stochastic bandit problems, matching the effectiveness of standard algorithms such as Thom…

Does anyone have (freely available non-NDA encumbered, i.e. reverse engineered) area figures for ARM Cortex-A processors, ideally on TSMC 28nm?
Even rough single data points would be helpful.
I have some Zynq-7s (28HPL dual A9) in my microscope food bin, but it seems like nobody's published an xc7z substrate die shot yet and it might be a while before I get to mine.

Cortex-Synth: Differentiable Topology-Aware 3D Skeleton Synthesis with Hierarchical Graph Attention
Mohamed Zayaan S
https://arxiv.org/abs/2509.06705 https://

Cortex-Synth: Differentiable Topology-Aware 3D Skeleton Synthesis with Hierarchical Graph Attention
We present Cortex Synth, a novel end-to-end differentiable framework for joint 3D skeleton geometry and topology synthesis from single 2D images. Our architecture introduces three key innovations: (1) A hierarchical graph attention mechanism with multi-scale skeletal refinement, (2) Differentiable spectral topology optimization via Laplacian eigen decomposition, and (3) Adversarial geometric consistency training for pose structure alignment. The framework integrates four synergistic modules: a …

Replaced article(s) found for q-bio.NC. https://arxiv.org/list/q-bio.NC/new
[1/1]:
- Universal scale-free representations in human visual cortex
Raj Magesh Gauthaman, Brice M\'enard, Michael F. Bonner

Deep learning-based control of electrically evoked activity in human visual cortex https://www.biorxiv.org/content/10.1101/2025.09.24.678361v1 (Toward) closed-loop for tuning stimulation parameters; Utah array,

TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling
Deming Zhou, Yuetong Fang, Zhaorui Wang, Renjing Xu
https://arxiv.org/abs/2508.04270 http…

TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling
The primate visual cortex exhibits topographic organization, where functionally similar neurons are spatially clustered, a structure widely believed to enhance neural processing efficiency. While prior works have demonstrated that conventional deep ANNs can develop topographic representations, these models largely neglect crucial temporal dynamics. This oversight often leads to significant performance degradation in tasks like object recognition and compromises their biological fidelity. To add…

yippie-kee-yay! just added teensy4.0 support to #klutshnik #zephyr - the 4.0 is smaller and cheaper than the 4.1 but comes with the same powerful cortex-m7 mcu. with this change klutshnik now runs on 4 different embedded systems: xiao_esp32s3, rpi pico2 (w) and the teensy4.1 and teensy4.0. \o/
als…

macaque_neural: Macaque cortical connectivity (Young)
A network of cortical regions in the Macaque cortex.
This network has 47 nodes and 505 edges.
Tags: Biological, Connectome, Unweighted
https://networks.skewed.de/net/macaque_neural
Ridiculogram:

Layer-specific changes in sensory cortex across the lifespan in mice and humans #7T

Layer-specific changes in sensory cortex across the lifespan in mice and humans - Nature Neuroscience
The principal layer architecture of the sensory cortex is altered with aging. The authors show that overall thinning of the primary somatosensory cortex is driven by deep layer degeneration but that layer IV is more pronounced in old age.

EEG Study of the Influence of Imagined Temperature Sensations on Neuronal Activity in the Sensorimotor Cortex
Anton Belichenko, Daria Trinitatova, Aigul Nasibullina, Lev Yakovlev, Dzmitry Tsetserukou
https://arxiv.org/abs/2508.16274

EEG Study of the Influence of Imagined Temperature Sensations on Neuronal Activity in the Sensorimotor Cortex
Understanding the neural correlates of sensory imagery is crucial for advancing cognitive neuroscience and developing novel Brain-Computer Interface (BCI) paradigms. This study investigated the influence of imagined temperature sensations (ITS) on neural activity within the sensorimotor cortex. The experimental study involved the evaluation of neural activity using electroencephalography (EEG) during both real thermal stimulation (TS: 40°C Hot, 20°C Cold) applied to the participants' hand, an…

🧠 Imaging tech promises deepest looks yet into living brain tissue at single-cell resolution
https://medicalxpress.com/news/2025-08-imaging-tech-deepest-brain-tissue.html

Imaging tech promises deepest looks yet into living brain tissue at single-cell resolution
Both for research and medical purposes, researchers have spent decades pushing the limits of microscopy to produce ever deeper and sharper images of brain activity, not only in the cortex but also in regions underneath such as the hippocampus. In a new study, a team of MIT scientists and engineers demonstrates a new microscope system capable of peering exceptionally deep into brain tissues to detect the molecular activity of individual cells by using sound.

Is anyone aware of a Cortex-M based microcontroller with a PCIe root complex IP?
Not an apps processor, I'm specifically asking about a M (probably M7 or M85 based).

🧠 Excited to share our latest research presented at #CNS2025 in beautiful Firenze, Italy!
"Population decoding of visual motion direction in V1 marmoset monkey: effects of uncertainty"
Our work explores how populations of neurons in the primary visual cortex (V1) of marmoset monkeys encode visual motion direction, with a particular focus on understanding how uncertainty influences…

Population decoding of visual motion direction in V1 marmoset monkey : effects of uncertainty | Next-generation neural computations

Beautiful work from the lab of Nik Francis, with compelling behavioral evidence for pitch perception in mice, and also for its neural representation in cortex (using widefield calcium imaging).
https://biologists.social/@biorxiv_neursci/115147861477486613

Control of a commercial vehicle by a tetraplegic human using a bimanual brain-computer interface
Xinyun Zou, Jorge Gamez, Meghna Menon, Phillip Ring, Chadwick Boulay, Likhith Chitneni, Jackson Brennecke, Shana R. Melby, Gracy Kureel, Kelsie Pejsa, Emily R. Rosario, Ausaf A. Bari, Aniruddh Ravindran, Tyson Aflalo, Spencer S. Kellis, Dimitar Filev, Florian Solzbacher, Richard A. Andersen

Control of a commercial vehicle by a tetraplegic human using a bimanual brain-computer interface
Brain-computer interfaces (BCIs) read neural signals directly from the brain to infer motor planning and execution. However, the implementation of this technology has been largely limited to laboratory settings, with few real-world applications. We developed a bimanual BCI system to drive a vehicle in both simulated and real-world environments. We demonstrate that an individual with tetraplegia, implanted with intracortical BCI electrodes in the posterior parietal cortex (PPC) and the hand knob…

(2015) "Visual" cortex responds to spoken language in blind children https://www.jneurosci.org/content/35/33/11674 Now what will the "visual" cortex of blind children do once trained with live imagery (camera views) encoded in sound by The vOICe?

“Visual” Cortex Responds to Spoken Language in Blind Children
Plasticity in the visual cortex of blind individuals provides a rare window into the mechanisms of cortical specialization. In the absence of visual input, occipital (“visual”) brain regions respond to sound and spoken language. Here, we examined the time course and developmental mechanism of this plasticity in blind children. Nineteen blind and 40 sighted children and adolescents (4–17 years old) listened to stories and two auditory control conditions (unfamiliar foreign speech, and musi…

A numerical approach for the dynamics of active viscoelastic surfaces
Francine Kolley-K\"ochel, Jan Magnus Sischka, Axel Voigt, Elisabeth Fischer-Friedrich, Sebastian Aland
https://arxiv.org/abs/2509.13777

A numerical approach for the dynamics of active viscoelastic surfaces
The dynamics of active viscoelastic surfaces plays an important role in biological systems. One prominent example is the actin cortex, a thin bio-polymer sheet underneath the outer membrane of biological cells which combines active molecular force generation with viscoelastic behavior characterized by elastic properties at short timescales and viscous properties at longer timescales. We consider a surface Maxwell model within dominant rheology and an additional active term to model the dynamics…

Optical discrimination of live single cancer cells using reflection-based nanohole array sensor
Alfredo Franco, Izan Calder\'on, Dolores Ortiz, Jos\'e L. Fern\'andez-Luna, Fernando Moreno
https://arxiv.org/abs/2508.08205

Optical discrimination of live single cancer cells using reflection-based nanohole array sensor
In this research, a reflection-based nanohole array sensor system is presented for discriminating between migration-competent cancer cells that maintain the integrity of the actin cortex and those cells lacking the actin cortex and thus unable to migrate. Unlike previous transmission-based approaches, this configuration allows for more practical integration into in situ diagnostic tools. For the first time, the system performance is analyzed by studying the spectral features of the reflected li…

VCNet: Recreating High-Level Visual Cortex Principles for Robust Artificial Vision
Brennen A. Hill, Zhang Xinyu, Timothy Putra Prasetio
https://arxiv.org/abs/2508.02995 https://…

VCNet: Recreating High-Level Visual Cortex Principles for Robust Artificial Vision
Despite their success in image classification, modern convolutional neural networks (CNNs) exhibit fundamental limitations, including data inefficiency, poor out-of-distribution generalization, and vulnerability to adversarial perturbations. The primate visual system, in contrast, demonstrates superior efficiency and robustness, suggesting that its architectural principles may offer a blueprint for more capable artificial vision systems. This paper introduces Visual Cortex Network (VCNet), a no…

macaque_neural: Macaque cortical connectivity (Young)
A network of cortical regions in the Macaque cortex.
This network has 47 nodes and 505 edges.
Tags: Biological, Connectome, Unweighted
https://networks.skewed.de/net/macaque_neural
Ridiculogram:

this #seeedstudio #xiao #rp2350 looks cute!
https://www.

Seeed Studio XIAO RP2350
The XIAO RP2350 packs the power of the Raspberry Pi RP2350 (switchable architecture of dual Arm Cortex-M33 cores running at 150MHz with FPU, and dual open-hardware Hazard3 RISC‑V cores, enhanced security and encryption) into the classic XIAO form factor. Measuring just 21x17.8mm, it features 19 multifunction GPIOs, an RGB LED, and a Battery Management System with ultra-low power consumption of 27μA, battery power supply, and direct battery voltage measurement. Thanks to the XIAO ecosystem, t…

Spherical Brownian Bridge Diffusion Models for Conditional Cortical Thickness Forecasting
Ivan Stoyanov, Fabian Bongratz, Christian Wachinger
https://arxiv.org/abs/2509.08442 ht…

Spherical Brownian Bridge Diffusion Models for Conditional Cortical Thickness Forecasting
Accurate forecasting of individualized, high-resolution cortical thickness (CTh) trajectories is essential for detecting subtle cortical changes, providing invaluable insights into neurodegenerative processes and facilitating earlier and more precise intervention strategies. However, CTh forecasting is a challenging task due to the intricate non-Euclidean geometry of the cerebral cortex and the need to integrate multi-modal data for subject-specific predictions. To address these challenges, we …

macaque_neural: Macaque cortical connectivity (Young)
A network of cortical regions in the Macaque cortex.
This network has 47 nodes and 505 edges.
Tags: Biological, Connectome, Unweighted
https://networks.skewed.de/net/macaque_neural
Ridiculogram:

Network topological reorganization mechanisms of primary visual cortex under multimodal stimulation (in mice) https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2025.1678035/full

Frontiers | Network topological reorganization mechanisms of primary visual cortex under multimodal stimulation
IntroductionThe functional connectivity topology of the primary visual cortex (V1) shapes sensory processing and cross-modal integration, yet how different s...

Control of lumen morphology by lateral and basal cell surfaces
Chandraniva Guha Ray, Markus Mukenhirn, Alf Honigmann, Pierre A. Haas
https://arxiv.org/abs/2509.04316 https://

Control of lumen morphology by lateral and basal cell surfaces
Across development, the morphology of fluid-filled lumina enclosed by epithelial tissues arises from an interplay of lumen pressure, mechanics of the cell cortex, and cell-cell adhesion. Here, we explore the mechanical basis for the control of this interplay using the shape space of MDCK cysts and the instability of their apical surfaces under tight junction perturbations [Mukenhirn et al., Dev. Cell 59, 2886 (2024)]. We discover that the cysts respond to these perturbations by significantly mo…

Neurons and Pixels https://www.neurotechreports.com/pages/publishersletterJul24.html by James Cavuoto on Neuralink Blindsight and the graveyard of commercial failures: Optobionics, Retina Implant, Second Sight, Pixium Vision and others.

Synthetic Data Generation for Classifying Electrophysiological and Morpho-Electrophysiological Neurons from Mouse Visual Cortex
Xavier Vasques, Laura Cif
https://arxiv.org/abs/2508.06514

Synthetic Data Generation for Classifying Electrophysiological and Morpho-Electrophysiological Neurons from Mouse Visual Cortex
The accurate classification of neuronal cell types is central to decoding brain function, yet remains hindered by data scarcity and cellular heterogeneity. Here, we benchmarked classical and deep generative synthetic data augmentation strategies -- including SMOTE, GANs, VAEs, Normalizing Flows, and DDPMs -- for supervised classification of both electrophysiological (e-type) and morpho-electrophysiological (mee-type) neuron types from the mouse visual cortex. Using a curated dataset annotated w…

Modes of Mechanical Guidance of Adhesion-Independent Cell Migration
Hanna Luise Gertack, Peter A. E. Hampshire, Claudia Wohlgemuth, Ricard Alert, Sebastian Aland
https://arxiv.org/abs/2509.11801

Modes of Mechanical Guidance of Adhesion-Independent Cell Migration
Adhesion-independent migration is a prominent mode of cell motility in confined environments, yet the physical principles that guide such movement remain incompletely understood. We present a phase-field model for simulating the motility of deformable, non-adherent cells driven by contractile surface instabilities of the cell cortex. This model couples surface and bulk hydrodynamics, accommodates large shape deformations and incorporates a diffusible contraction-generating molecule (myosin) tha…

macaque_neural: Macaque cortical connectivity (Young)
A network of cortical regions in the Macaque cortex.
This network has 47 nodes and 505 edges.
Tags: Biological, Connectome, Unweighted
https://networks.skewed.de/net/macaque_neural
Ridiculogram:

Ultrasound system for precise neuromodulation of human deep brain circuits #tFUS

Ultrasound system for precise neuromodulation of human deep brain circuits - Nature Communications
Modulating deep brain structure can lead to therapies for neurological conditions. Here, the authors show a transcranial ultrasound stimulation (TUS) system featuring a 256-element helmet-shaped transducer array for modulation of the LGN and connected visual cortex regions

Replaced article(s) found for q-bio.NC. https://arxiv.org/list/q-bio.NC/new
[1/1]:
- A sub-Riemannian model of neural states in the primary motor cortex
Caterina Mazzetti, Jawad Ali, Alessandro Sarti, Giovanna Citti

Distinct neural mechanisms of visual and sound adaptation in the cat visual cortex https://onlinelibrary.wiley.com/doi/10.1111/ejn.70253 "sound adaptation may keep the visual cortex prepared across a spectrum of abstract representations that match with visual stimuli"

Live Demonstration: Neuromorphic Radar for Gesture Recognition
Satyapreet Singh Yadav, Chandra Sekhar Seelamantula, Chetan Singh Thakur
https://arxiv.org/abs/2508.03324 https://…

Live Demonstration: Neuromorphic Radar for Gesture Recognition
We present a neuromorphic radar framework for real-time, low-power hand gesture recognition (HGR) using an event-driven architecture inspired by biological sensing. Our system comprises a 24 GHz Doppler radar front-end and a custom neuromorphic sampler that converts intermediate-frequency (IF) signals into sparse spike-based representations via asynchronous sigma-delta encoding. These events are directly processed by a lightweight neural network deployed on a Cortex-M0 microcontroller, enabling…

Complex three-dimensional rearing environments amplify compensatory plasticity following early blindness (in opossums) https://www.biorxiv.org/content/10.1101/2025.05.02.651847v1 "underscoring the role of experience in directing compensatory plasticity following early s…

macaque_neural: Macaque cortical connectivity (Young)
A network of cortical regions in the Macaque cortex.
This network has 47 nodes and 505 edges.
Tags: Biological, Connectome, Unweighted
https://networks.skewed.de/net/macaque_neural
Ridiculogram:

Uncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided Diffusion
Yule Wang, Joseph Yu, Chengrui Li, Weihan Li, Anqi Wu
https://arxiv.org/abs/2510.02182 …

Uncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided Diffusion
Understanding how neural populations in higher visual areas encode object-centered visual information remains a central challenge in computational neuroscience. Prior works have investigated representational alignment between artificial neural networks and the visual cortex. Nevertheless, these findings are indirect and offer limited insights to the structure of neural populations themselves. Similarly, decoding-based methods have quantified semantic features from neural populations but have no…

(YouTube) This is how Neuralink built a human head for surgical practice https://www.youtube.com/watch?v=evdImdnqG0A Very helpful in preparing for a motor cortex implant. Will it also be realistic enough for practicing pushing the occipital lobes aside and such for Neuralink Blindsight?

Incorporating Visual Cortical Lateral Connection Properties into CNN: Recurrent Activation and Excitatory-Inhibitory Separation
Jin Hyun Park, Cheng Zhang, Yoonsuck Choe
https://arxiv.org/abs/2509.15460

Incorporating Visual Cortical Lateral Connection Properties into CNN: Recurrent Activation and Excitatory-Inhibitory Separation
The original Convolutional Neural Networks (CNNs) and their modern updates such as the ResNet are heavily inspired by the mammalian visual system. These models include afferent connections (retina and LGN to the visual cortex) and long-range projections (connections across different visual cortical areas). However, in the mammalian visual system, there are connections within each visual cortical area, known as lateral (or horizontal) connections. These would roughly correspond to connections wi…

Decoding semantic sound categories in early visual cortex https://academic.oup.com/cercor/article/35/8/bhaf208/8221408?login=false "semantic and categorical sound information is represented in early visual cortex, potentially used to predict visual input&qu…

Lack of cross modal plasticity potentially linked to ongoing activation of visual cortex and superior colliculus in the rd10 mouse model of retinitis pigmentosa https://academic.oup.com/cercor/article-abstract/35/10/bhaf273/8285020

(PDF) Feedback signals can explain spike-silent working memory traces in visual cortex https://2025.ccneuro.org/abstract_pdf/Krause_2025_Feedback_signals_explain_spike-silent_working_memory.pdf

On sources to variabilities of simple cells in the primary visual cortex: A principled theory for the interaction between geometric image transformations and receptive field responses
Tony Lindeberg
https://arxiv.org/abs/2509.02139

On sources to variabilities of simple cells in the primary visual cortex: A principled theory for the interaction between geometric image transformations and receptive field responses
This paper gives an overview of a theory for modelling the interaction between geometric image transformations and receptive field responses for a visual observer that views objects and spatio-temporal events in the environment. This treatment is developed over combinations of (i) uniform spatial scaling transformations, (ii) spatial affine transformations, (iii) Galilean transformations and (iv) temporal scaling transformations. By postulating that the family of receptive fields should be co…

A transformation from vision to imagery in the human brain https://www.biorxiv.org/content/10.1101/2025.09.02.672180v1 "Extensive work has shown that the visual cortex is reactivated during mental imagery";

Neuroplasticity in adult human visual cortex (2020) https://www.sciencedirect.com/science/article/pii/S0149763419303288 by @EliCastaldi et al.; "early visual deprivation" [...] "leads to plastic reorganization of the visual cortices and permanent visua…

does anyone know of a small (like a #teensy, or #seeed #xiao) cortex-m7 board? i have a teensy 4.1, but the lack of #JTAG/#SW…

State-dependent brain responsiveness, from local circuits to the whole brain
A. Destexhe, J Goldman, N. Tort-Colet, A. Roques, J. Fousek, S. Petkoski, V. Jirsa, O. David, M. Jedynak, C. Capone, C. De Luca, G. De Bonis, P. S. Paolucci, E. Mikulan, Pigorini, M Massimini, A. Galluzzi, A. Pazienti, M. Mattia, A. Arena, B. E. Juel, E. Hagen, J. F. Storm, E. Montagni, F. Resta, F. S. Pavone, A. L. Allegra Mascaro, A. Dwarakanath, T. I. Panagiotaropoulos, J. Senk, M. Diesmann, A. Camassa, L.…

State-dependent brain responsiveness, from local circuits to the whole brain
The objective of this paper is to review physiological and computational aspects of the responsiveness of the cerebral cortex to stimulation, and how responsiveness depends on the state of the system. This correspondence between brain state and brain responsiveness (state-dependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level. At each scale, we review how quantitative methods can be used to characterize network states base…

Neural computations of visual, semantic, and memorability features in the human brain https://www.biorxiv.org/content/10.1101/2025.09.06.674646v1 "Object recognition requires integrated processing that extends beyond the visual cortex, incorporating semantic and memory-…

Topographic alignment of auditory inputs to the visual cortex (in mice) https://www.biorxiv.org/content/10.1101/2025.07.29.667237v1 More information in the Bluesky thread

Computing with Canonical Microcircuits
PK Douglas
https://arxiv.org/abs/2508.06501 https://arxiv.org/pdf/2508.06501…

Computing with Canonical Microcircuits
The human brain represents the only known example of general intelligence that naturally aligns with human values. On a mere 20-watt power budget, the brain achieves robust learning and adaptive decision-making in ways that continue to elude advanced AI systems. Inspired by the brain, we present a computational architecture based on canonical microcircuits (CMCs) - stereotyped patterns of neurons found ubiquitously throughout the cortex. We implement these circuits as neural ODEs comprising spi…

Computational modelling of Parkinson's disease: A multiscale approach with deep brain stimulation and stochastic noise
Aaron Herrera, Hina Shaheen
https://arxiv.org/abs/2509.08179

Computational modelling of Parkinson's disease: A multiscale approach with deep brain stimulation and stochastic noise
Multiscale modelling presents a multifaceted perspective into understanding the mechanisms of the brain and how neurodegenerative disorders like Parkinson's disease (PD) manifest and evolve over time. In this study, we propose a novel co-simulation multiscale approach that unifies both micro- and macroscales to more rigorously capture brain dynamics. The presented design considers the electrodiffusive activity across the brain and in the network defined by the cortex, basal ganglia, and thalamu…

Model-Guided Microstimulation Steers Primate Visual Behavior
Johannes Mehrer, Ben Lonnqvist, Anna Mitola, Abdulkadir Gokce, Paolo Papale, Martin Schrimpf
https://arxiv.org/abs/2510.03684

Model-Guided Microstimulation Steers Primate Visual Behavior
Brain stimulation is a powerful tool for understanding cortical function and holds promise for therapeutic interventions in neuropsychiatric disorders. Initial visual prosthetics apply electric microstimulation to early visual cortex which can evoke percepts of simple symbols such as letters. However, these approaches are fundamentally limited by hardware constraints and the low-level representational properties of this cortical region. In contrast, higher-level visual areas encode more complex…

Measuring the entropy of a neuron cell from its membrane current signal
Mahmut Akilli
https://arxiv.org/abs/2508.00968 https://arxiv.org/pdf/2508.00968

Measuring the entropy of a neuron cell from its membrane current signal
The purpose of this study was to investigate how the entropy of a neuron cell can be measured using membrane ion current signals, which were recorded from neurons in the mouse medial prefrontal cortex (mPFC). The sample entropy and the Scalogram entropy were used as entropy measurement methods. It is well known that the entropy increases in the direction of the movement of the system towards the equilibrium. Therefore, in the process of the electrical activity of a living cell, the entropy is e…

Replaced article(s) found for q-bio.NC. https://arxiv.org/list/q-bio.NC/new
[1/1]:
- Control of Functional Connectivity in Cerebral Cortex by Basal Ganglia Mediated Synchronization
Daniel Pouzzner

Some Further Developments on a Neurobiologically-based Model for Color Sensations in Humans
Charles Q. Wu
https://arxiv.org/abs/2510.01000 https://arxiv.or…

Some Further Developments on a Neurobiologically-based Model for Color Sensations in Humans
At HVEI-2012, I presented a neurobiologically-based model for trichromatic color sensations in humans, mapping the neural substrate for color sensations to V1-L4: the thalamic recipient layer of the primary visual cortex. In this paper, I propose that V1-L4 itself consists of three distinct sub-layers that directly correspond to the three primary color sensations: blue, red, and green. Furthermore, I apply this model to three aspects of color vision: the three-dimensional (3D) color solid, dich…