Daniel Levenstein

Environmental complexity reveals memory-guided search as the locus of learning in prey capture

This study shows that mice improve prey capture by reorganizing search strategies in complex environments, using memory and learned object values.

Visual objects refine head direction coding

The paper identifies brain regions activated by visual objects in mice and shows they modulate head direction cell activity during navigation.

Topography of putative bidirectional interaction between hippocampal sharp wave ripples and neocortical slow oscillations

The paper investigates bidirectional interactions between hippocampal sharp wave ripples and neocortical slow oscillations during sleep using electrophysiology and imaging in mice.

Hyperpolarization-Activated Currents Drive Neuronal Activation Sequences in Sleep

The paper shows that hyperpolarization-activated currents (Ih) generate sequential neuronal activation patterns in the mouse head-direction cortex during sleep.

Sequential predictive learning is a unifying theory for hippocampal representation and replay

This paper shows that predictive learning in neural networks can generate hippocampal-like spatial representations and replay, suggesting a unifying theory for hippocampal function and AI.

Synaptic homeostasis transiently leverages Hebbian mechanisms for a multiphasic response to inactivity

The paper shows that synaptic homeostasis uses both Hebbian and homeostatic mechanisms in a nonmonotonic way to adapt to prolonged inactivity.

Pynapple, a toolbox for data analysis in neuroscience.

Pynapple provides an open-source framework for analyzing time-resolved data in systems neuroscience, offering easy-to-use objects and methods for data manipulation and analysis.

Distinct ground state and activated state modes of spiking in forebrain neurons

The paper identifies two distinct spiking modes in forebrain neurons: a universal ground state and context-dependent activated state, with implications for neuronal function.

Excitable dynamics of NREM sleep: a unifying model for neocortex and hippocampus

The paper develops a mean field model to explain NREM sleep dynamics in the neocortex and hippocampus, showing they alternate between stable and transient states.

Sleep regulation of the distribution of cortical firing rates

This paper explores how sleep, specifically NREM slow oscillations, regulates the distribution of cortical firing rates to support both memory consolidation and neuronal system maintenance.