Marc W. Howard

Continuous attractor circuits for decision making with Laplace-domain neural representations

This paper proposes a continuous attractor neural network model that implements decision making through complementary ramping and sequential neural responses, reproducing diffusion decision model behavior.

Ramping dynamics in the frontal cortex unfold over multiple timescales during motor planning

The paper analyzes frontal motor cortex activity during motor planning and finds that neural activity unfolds over multiple timescales, supporting a shared mechanism for temporal information processing.

A hippocampal astrocytic sequence emerges during learning and memory

This study identifies astrocytic calcium-event sequences in the dorsal hippocampus during learning and memory tasks, showing they encode time-compressed information similar to neuronal time cells.

Ramping cells in rodent mPFC encode time to past and future events via real Laplace transform

The paper analyzes rodent mPFC neurons during an interval reproduction task and identifies two cell groups with distinct firing patterns that encode time to past and future events using real Laplace transforms.

Coding of time with non-linear mixed selectivity in Prefrontal Cortex ensembles

The paper investigates how prefrontal cortex neurons encode time during working memory tasks and finds that non-linear mixed selectivity allows for the maintenance of timing information for the most recent stimulus.

Internally Generated Time in the Rodent Hippocampus is Logarithmically Compressed

This study shows that time cells in the rodent hippocampus represent time on a logarithmic scale, consistent with the Weber-Fechner Law.

Consistent population activity on the scale of minutes in the mouse hippocampus

This study shows that hippocampal neurons in mice exhibit consistent firing sequences across seconds and minutes during experimental sessions.

A compressed representation of spatial distance in the rodent hippocampus

The paper shows that place cells in the rodent hippocampus encode distance with decreasing resolution as distance increases, suggesting a unified coding mechanism for time and space.

Conjunctive representation of what and when in monkey hippocampus and lateral prefrontal cortex during an associative memory task

The paper shows that both hippocampus and prefrontal cortex in monkeys maintain a temporal record of events during an associative memory task.

A temporal record of the past with a spectrum of time constants in the monkey entorhinal cortex

The paper shows that neurons in the monkey entorhinal cortex encode time since image onset with varying time constants and also represent image content, supporting episodic memory.

Generation of scale-invariant sequential activity in linear recurrent networks

This paper identifies constraints for linear recurrent neural networks to generate scale-invariant sequential activity through eigendecomposition analysis.

A Neural Microcircuit Model for a Scalable Scale-invariant Representation of Time

This paper introduces a biologically detailed neural circuit model that generates scale-invariant time cells through a combination of calcium-activated currents and inverse Laplace transform network structures.

Predicting the future with multi-scale successor representations

Running successor representations at several discount scales, then taking their derivative through an inverse Laplace transform, is proposed to recover upcoming state order and distance to goal.

Compressed timeline of recent experience in monkey lPFC

The paper shows that working memory in monkey lPFC encodes both stimulus identity and elapsed time as a compressed timeline.

Human Episodic Memory Retrieval Is Accompanied By A Neural Contiguity Effect

The paper shows that retrieving human episodic memories involves reinstating a gradually changing temporal context, supporting the neural contiguity effect.