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There is physiological evidence that our ability to interpret human pose and action from 2D visual imagery (binocular or monocular) engages the circuitry of the motor cortices as well as the visual areas of the brain. This implies that the…

Computer Vision and Pattern Recognition · Computer Science 2015-03-31 David W. Arathorn

Reverse engineering the brain is proving difficult, perhaps impossible. While many believe that this is just a matter of time and effort, a different approach might help. Here, we describe a very simple idea which explains the power of the…

Neural and Evolutionary Computing · Computer Science 2015-12-17 Fergal Byrne

A common view on the brain learning processes proposes that the three classic learning paradigms -- unsupervised, reinforcement, and supervised -- take place in respectively the cortex, the basal-ganglia, and the cerebellum. However,…

Neurons and Cognition · Quantitative Biology 2021-06-08 Giovanni Granato , Emilio Cartoni , Federico Da Rold , Andrea Mattera , Gianluca Baldassarre

Cognitive problem-solving benefits from cognitive maps aiding navigation and planning. Previous studies revealed that cognitive maps for physical space navigation involve hippocampal (HC) allocentric codes, while cognitive maps for abstract…

Neurons and Cognition · Quantitative Biology 2024-07-30 Toon Van de Maele , Bart Dhoedt , Tim Verbelen , Giovanni Pezzulo

AI's significant recent advances using general-purpose circuit computations offer a potential window into how the neocortex and cerebellum of the brain are able to achieve a diverse range of functions across sensory, cognitive, and motor…

Neurons and Cognition · Quantitative Biology 2024-12-02 Shogo Ohmae , Keiko Ohmae

Predictive coding is an influential theory of cortical function which posits that the principal computation the brain performs, which underlies both perception and learning, is the minimization of prediction errors. While motivated by…

Neurons and Cognition · Quantitative Biology 2020-10-13 Beren Millidge , Alexander Tschantz , Anil Seth , Christopher L Buckley

Although Hubel and Wiesel established decades ago how individual V1 neurons transform retinal inputs, functions of V1 as a whole are being discovered only recently. First, V1 acts as a motor cortex for exogenously guiding saccades by…

Neurons and Cognition · Quantitative Biology 2026-04-27 Li Zhaoping

The fields of artificial intelligence and neuroscience have a long history of fertile bi-directional interactions. On the one hand, important inspiration for the development of artificial intelligence systems has come from the study of…

Neurons and Cognition · Quantitative Biology 2019-11-21 Eilif B. Muller , Philippe Beaudoin

Over the last few decades, a lot of progress has been made in understanding different aspects of the brain's ability to form abstract representations, but a specific mechanism for how they are created and used remains to emerge. Here, we…

Neurons and Cognition · Quantitative Biology 2020-03-02 Prashant C. Raju

Hierarchies feature prominently in anatomical accounts of cortical organisation. An open question is which computational (algorithmic) processes are implemented by these hierarchies. One renowned hypothesis is that cortical hierarchies…

Neurons and Cognition · Quantitative Biology 2017-09-08 Andreea O. Diaconescu , Vladimir Litvak , Christoph Mathys , Lars Kasper , Karl J. Friston , Klaas E. Stephan

Prior plays an important role in providing the plausible constraint on human motion. Previous works design motion priors following a variety of paradigms under different circumstances, leading to the lack of versatility. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2021-11-29 Jiachen Xu , Min Wang , Jingyu Gong , Wentao Liu , Chen Qian , Yuan Xie , Lizhuang Ma

The primate visual system has an exquisite ability to discriminate partially occluded shapes. Recent electrophysiological recordings suggest that response dynamics in intermediate visual cortical area V4, shaped by feedback from prefrontal…

Neurons and Cognition · Quantitative Biology 2016-12-19 Hannah Choi , Anitha Pasupathy , Eric Shea-Brown

Sequences of neuronal activation have long been implicated in a variety of brain functions. In particular, these sequences have been tied to memory formation and spatial navigation in the hippocampus, a region of mammalian brains.…

Neurons and Cognition · Quantitative Biology 2016-03-10 Zachary Roth

Broadly intelligent agents should form task-specific abstractions that selectively expose the essential elements of a task, while abstracting away the complexity of the raw sensorimotor space. In this work, we present Neuro-Symbolic…

Artificial Intelligence · Computer Science 2025-03-04 Yichao Liang , Nishanth Kumar , Hao Tang , Adrian Weller , Joshua B. Tenenbaum , Tom Silver , João F. Henriques , Kevin Ellis

The spatial and functional organization of the primate visual cortex is a fundamental problem in neuroscience. While recent computational frameworks like the Topographic Deep Artificial Neural Network (TDANN) have successfully modeled…

Neurons and Cognition · Quantitative Biology 2026-05-13 Zhaotian Gu , Molan Li , Jie Su , Chang Liu , Tianyi Qian , Dahui Wang

Planning and executing volitional actions in the face of conflicting habitual responses is a critical aspect of human behavior. At the core of the interplay between these two control systems lies an override mechanism that can suppress the…

Neurons and Cognition · Quantitative Biology 2012-12-04 Thomas V. Wiecki , Michael J. Frank

As a person learns a new skill, distinct synapses, brain regions, and circuits are engaged and change over time. In this paper, we develop methods to examine patterns of correlated activity across a large set of brain regions. Our goal is…

Neurons and Cognition · Quantitative Biology 2013-10-31 Danielle S. Bassett , Nicholas F. Wymbs , M. Puck Rombach , Mason A. Porter , Peter J. Mucha , Scott T. Grafton

This Dissertation is comprised of two main projects, addressing questions in neuroscience through applications of generative modeling. Project #1 (Chapter 4) explores how neurons encode features of the external world. I combine Helmholtz's…

Neurons and Cognition · Quantitative Biology 2024-12-31 Hadi Vafaii

Prospection, the act of predicting the consequences of many possible futures, is intrinsic to human planning and action, and may even be at the root of consciousness. Surprisingly, this idea has been explored comparatively little in…

Robotics · Computer Science 2018-04-03 Chris Paxton , Yotam Barnoy , Kapil Katyal , Raman Arora , Gregory D. Hager

Research has characterized the various forms cognitive control can take, including enhancement of goal-relevant information, suppression of goal-irrelevant information, and overall inhibition of potential responses, and has identified…

Neurons and Cognition · Quantitative Biology 2022-01-04 Harrison Ritz , Xiamin Leng , Amitai Shenhav