Paradoxical responses, in which excitatory perturbations of inhibitory neurons reduce their firing rates, are widely regarded as a hallmark of inhibition-stabilized networks (ISNs) and have been obser...

Using a combined approach of monkey electrophysiology, artificial neural networks and human psychophysics, Xue et al. show that neuronal interference from irrelevant information underlies behavioral e...

Neural sequences, characterized by neurons or groups of neurons that fire one after the other, have been observed in multiple brain regions, across species, and are known to underlie a diversity of br...

This study leverages cell type-specific optogenetics in the monkey cerebral cortex to elucidate the unique functional contributions of excitatory and inhibitory neurons in visual form processing. The ...

Brain activity is complex but not arbitrary, and some patterns dominate others, with dimensionality describing how many such patterns exist. The authors show how brain connectivity controls dimensiona...

Large language models (LLMs) have mastered human language in ways that no previous computational system has. While rule-based, symbolic systems suffic…

The authors present a dense connectomic reconstruction of a 0.1 mm3 hippocampal CA3 volume and reveal spatial gradients, high convergence and cell-type-selective feedforward inhibition of inputs to py...

Using in vivo whole-cell recordings during goal-directed navigation, Bhatia, Adel, and Grienberger identify plateaus as a prominent feature of subiculum activity. These events preferentially occur nea...

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To make flexible decisions, the brain needs to make inferences between events that were not directly experienced together. In sharp-wave ripple (SWR) events, during periods of rest and sleep, spiking ...

Bissen et al. show that prey capture learning profoundly reshapes visual cortical circuitry and function during developmental critical periods, but not in adulthood. These learning-induced structural ...

It is unusual for cognitive neuroscientists to reach consensus around which computations a brain region implements, what algorithms are used to achieve those computations and how the algorithms are im...

Cortical circuits prioritize diversity over categorical structure, supporting a computational regime geared towards high-dimensional, highly separable neural representations.

Cortical circuits prioritize diversity over categorical structure, supporting a computational regime geared towards high-dimensional, highly separable neural representations.

Predictive coding proposes that the brain constructs internal models of the world to continuously predict sensory input and uses resulting errors to refine these models. Over the past several decades,...

This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...

Studierenden- und Mitarbeiterportal der Technische Universität München

Learning transforms prefrontal cortex activity from flexible, high-dimensional representations into compact, task-relevant and abstract codes, enabling efficient generalization of learned rules to new...

The human brain has the remarkable ability to comprehend and express similar concepts in multiple languages. To understand how it does so, we examined…

The Howard Hughes Medical Institute’s Janelia Research Campus is banking on whole-brain imaging in the Danionella fish to advance neuroscience, but some scientists forced to close their labs say that…

This conference will bring together leading experts to discuss how neuromodulatory systems shape neuronal circuit dynamics, behavior, and computation. The program will focus on how neuromodulators suc...

UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).

Excitatory synaptic scaling regulates network dynamics by proportionally adjusting excitatory synaptic strengths after sensory perturbations. During associative learning, blocking excitatory scaling i...