Rapid learning, memory, and generalization are often attributed to circuits of the neocortex and hippocampus, but their specific role remains unclear. To examine these cognitive abilities together in ...

Modern systems in artificial intelligence (AI) somehow excel in domains for which they seem poorly suited. Intelligence has traditionally been modeled as operating over structured combinations of symb...

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 ...

The hippocampal cognitive map is constructed from environmental sensory inputs, but the conditions that recruit a spatial map from a quiescent baseline remain unclear. Using a parametric virtual reali...

How past experiences are reconstructed from memory remains unclear. Here the authors used intracranial EEG to show that hippocampal ripples reshape the geometry of cortical representations, supporting...

How does complex cognition emerge from simpler underlying processes? We show that two components are sufficient: infant-like curiosity and brain-like biophysical constraints jointly drive the emergenc...

Abstract. Decades of research have established the hippocampus as central to episodic memory, but growing evidence suggests that it also contributes to str

Using artificial neural networks applied to human data, Eckstein et al. show that good models of reinforcement learning require memory components that track representations of the past.

Plasticity at inhibitory synapses maintains balanced excitatory and inhibitory synaptic inputs at cortical neurons.

Scenes are complex, yet structured collections of parts, including objects and surfaces, that exhibit spatial and semantic relations to one another. An effective visual system therefore needs unified ...

We develop hybrid memory architectures for general-purpose sequence processing neural networks, that combine key-value memory using softmax attention (KV-memory) with fast weight memory through dynami...

Neural mechanisms underlying reinforcement learning in naturalistic environments are not fully understood. Here authors show that reinforcement learning (RL) agents with hippocampal-like recurrence, u...

Perceptual experience depends on recurrent interactions between lower and higher cortices. One theory, predictive coding, posits that feedback from hi…

Intracortical brain-computer interfaces (BCI) leverage knowledge about neural representations to translate movement-related neural activity into actions. BCI implants have targeted broad cortical regi...

The role of the hippocampus in resolving memory interference has been greatly elucidated by considering the relationship between the similarity of visual stimuli (input) and corresponding similarity o...

Humans can implicitly learn about multistep sequential relationships between events in the environment from their statistical co-occurrence. Theore...

Nature Communications - How the brain creates compositional cognitive maps that support both flexible and efficient planning remains poorly understood. Here, authors propose a...

Long-term learning and memory in the primate brain rely on a series of hierarchically organized subsystems extending from early sensory neocortical areas to the hippocampus. The components differ in t...

How the cortex learns an internal representation of the world and why the cortex relies on a layered structure remain poorly understood. Here, the authors propose a computational theory in which the n...

Why language models succeeded where video models failed, and what that teaches us about AI

Nature - A study shows that loss of memory precision associated with systems consolidation can be explained by neurogenesis-dependent reorganization of engram circuitry within the hippocampus over...

Individual researchers and university leaders need to make the case for science to their elected representatives and to the public at large.

Using multivariate fMRI analysis, this study reveals how medial and lateral orbitofrontal cortex (mOFC and lOFC) construct cognitive maps of abstract task space, advancing understanding of decision-ma...

A study in rats proposes a mechanism for how the brain maps the surrounding environment, including places it has never seen, by alternating left and right forward sweeps in successive theta cycles.