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In the primary visual cortex of primates and carnivores, functional architecture can be characterized by maps of various stimulus features such as orientation preference (OP), ocular dominance (OD), and spatial frequency. It is a…

Neurons and Cognition · Quantitative Biology 2015-05-27 Lars Reichl , Dominik Heide , Siegrid Löwel , Justin C. Crowley , Matthias Kaschube , Fred Wolf

Recent advances in general-purpose AI systems with attention-based transformers offer a potential window into how the neocortex and cerebellum, despite their relatively uniform circuit architectures, give rise to diverse functions and,…

Neurons and Cognition · Quantitative Biology 2025-12-03 Shogo Ohmae , Keiko Ohmae

How does the neocortex learn and develop the foundations of all our high-level cognitive abilities? We present a comprehensive framework spanning biological, computational, and cognitive levels, with a clear theoretical continuity between…

Neurons and Cognition · Quantitative Biology 2017-09-15 Randall C. O'Reilly , Dean R. Wyatte , John Rohrlich

Many tasks require flexibly modifying perception and behavior based on current goals. Humans can retrieve episodic memories from days to years ago, using them to contextualize and generalize behaviors across novel but structurally related…

Neural and Evolutionary Computing · Computer Science 2025-12-22 Yicong Zheng , Nora Wolf , Charan Ranganath , Randall C. O'Reilly , Kevin L. McKee

In the traditional understanding of the neocortex, sensory information flows up a hierarchy of regions, with each level processing increasingly complex features. Information also flows down the hierarchy via a different set of connections.…

Neurons and Cognition · Quantitative Biology 2025-07-09 Jeff Hawkins , Niels Leadholm , Viviane Clay

A model of sensory information processing is presented. The model assumes that learning of internal (hidden) generative models, which can predict the future and evaluate the precision of that prediction, is of central importance for…

Neural and Evolutionary Computing · Computer Science 2007-05-23 Andras Lorincz

While the original goal for developing robots is replacing humans in dangerous and tedious tasks, the final target shall be completely mimicking the human cognitive and motor behaviour. Hence, building detailed computational models for the…

Robotics · Computer Science 2021-02-04 Omar Zahra , David Navarro-Alarcon , Silvia Tolu

In this Habilitation Thesis, I synthesize 10 years of work on the role of the motor system in sensorimotor decision-making. First, a large part of the work we initially performed (2014-2020) questioned the functional role of the motor…

Neurons and Cognition · Quantitative Biology 2023-06-22 Gerard Derosiere

Recent work has shown that multimodal association areas-including frontal, temporal and parietal cortex-are focal points of functional network reconfiguration during human learning and performance of cognitive tasks. On the other hand,…

Neurons and Cognition · Quantitative Biology 2016-10-12 F. A. Soto , D. S. Bassett , F. G. Ashby

Mental simulation is a critical cognitive function for goal-directed behavior because it is essential for assessing actions and their consequences. When a self-generated or externally specified goal is given, a sequence of actions that is…

Robotics · Computer Science 2019-03-13 Minju Jung , Takazumi Matsumoto , Jun Tani

An internal model of the own body can be assumed a fundamental and evolutionary-early representation as it is present throughout the animal kingdom. Such functional models are, on the one hand, required in motor control, for example solving…

Robotics · Computer Science 2019-04-25 Malte Schilling

The proposed analysis of the currently available experimental results concerning the neural cell activity in the brain area known as hippocampus suggests a particular mechanism of spatial information and memory processing. Below it is…

Other Quantitative Biology · Quantitative Biology 2007-05-23 Yu. Dabaghian , A. G. Cohn , L. Frank

Evolution and its intelligence element present thrill and challenges in its exploration. Yet, how species have memory, retrieve them and maintain continuity are the fundamental questions. Most of the phenomenon can only be hypothesised by…

Neurons and Cognition · Quantitative Biology 2024-07-09 Anil Kumar Sharma , Asha Sharma

A salient feature of prefrontal cortex organization is the vast diversity of cell types that support the temporal integration of events required for sculpting future responses. A major obstacle in understanding the routing of information…

Neurons and Cognition · Quantitative Biology 2012-04-04 Michael V. Baratta , Shinya Nakamura , Peter Dobelis , Matthew B. Pomrenze , Samuel D. Dolzani , Donald C. Cooper

A recent paper (Flesch et al, 2022) describes behavioural and neural data suggesting that task representations are gated in the prefrontal cortex in both humans and macaques. This short note proposes an alternative explanation for the…

Neurons and Cognition · Quantitative Biology 2023-06-30 Timo Flesch , Valerio Mante , William Newsome , Andrew Saxe , Christopher Summerfield , David Sussillo

Industrial robotic manipulation demands reliable long-horizon execution across embodiments, tasks, and changing object distributions. While Vision-Language-Action models have demonstrated strong generalization, they remain fundamentally…

The idea that the brain is a probabilistic (Bayesian) inference machine, continuously trying to figure out the hidden causes of its inputs, has become very influential in cognitive (neuro)science over recent decades. Here I present a…

Neurons and Cognition · Quantitative Biology 2024-02-15 Eelke Spaak

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…

Neurons and Cognition · Quantitative Biology 2025-10-07 Johannes Mehrer , Ben Lonnqvist , Anna Mitola , Abdulkadir Gokce , Paolo Papale , Martin Schrimpf

Humans can pursue a near-infinite variety of tasks, but typically can only pursue a small number at the same time. We hypothesize that humans leverage experience on one task to preemptively learn solutions to other tasks that were…

Machine Learning · Computer Science 2026-05-06 Wilka Carvalho , Sam Hall-McMaster , Honglak Lee , Samuel J. Gershman

This article presents a simple model of the cortex-basal ganglia-thalamus loop, which is thought to serve for action selection and executions, and reports the results of its implementation. The model is based on the hypothesis that the…

Neurons and Cognition · Quantitative Biology 2024-02-22 Naoya Arakawa