Michael Erik Hasselmo

This study identifies medial septal glutamatergic neurons as essential for maintaining grid cell spatial stability and speed coding in the medial entorhinal cortex through optogenetic silencing and network modeling.

The paper builds a learning model to show how diverse spatial properties in the postrhinal cortex emerge from visual input processing through the superior colliculus pathway.

This study shows that pathological tau expression in the anterodorsal thalamic nucleus disrupts head direction signaling, leading to spatial disorientation in mice.

The paper analyzes the relative phase of membrane potential theta oscillations between hippocampal neurons during a virtual spatial task, revealing spatially coded phase shifts independent of spiking activity.

The paper models presynaptic inhibition by sAPP-GABABR1a to show how it prevents runaway synaptic modification in Alzheimer's disease.

The paper identifies distinct subtypes of head direction cells in the mouse anterodorsal thalamus based on their response profiles and connectivity patterns.

The paper investigates how spatial reference frames differ between the postrhinal cortex (POR) and medial entorhinal cortex (MEC) during place navigation in rats, finding that POR neurons adapt to visual landmarks while MEC neurons maintain a stable allocentric representation.

The paper models how egocentric boundary cells in RSC and POR respond to environmental features using different coordinate systems and proposes hypotheses for their functional roles in navigation.

The paper shows that hemodynamic responses in the cortex are influenced by neuromodulators like norepinephrine, with distinct impulse response functions for different neuromodulatory signals.

The paper develops an unsupervised model to decode elapsed time and distance from neural activity in freely moving mice, showing spatiotemporal information is a mix of idiothetic and allocentric signals.

The paper examines whether hippocampal cells encode time or distance during treadmill experiments and finds that cell encoding depends on the type of task.

This paper shows that egocentric boundary cells can be generated with a simple synaptic learning rule that creates sparse representations of visual input, matching observed neural activity in retrosplenial cortex.

This study shows that hippocampal remapping during new learning is greater in the same spatial context and preserves prior memory representations.

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

This study shows cholinergic modulation in the septo-hippocampal system changes rapidly with running speed and is logarithmically correlated to movement speed, independent of visual cues.

This study investigates how engram reactivation in the dentate gyrus varies based on maze traversal routes and environment, finding that route-specific ensembles are encoded and reactivated differently.

The paper shows that single and complex spikes in hippocampal neurons encode frequency-specific information during spatial navigation, with distinct roles for theta and gamma rhythms.

This study investigates how posterior parietal cortex encodes self-motion during different navigational tasks in rats, finding that task context modulates sensitivity and dynamic range of self-motion processing.

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

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.

This study shows that visual inputs influence the spatial stability of grid cell firing in the medial entorhinal cortex, correlating with theta frequency changes, while not affecting speed modulation of firing rates.

The paper shows that hippocampal neurons in mice reorganize their activity patterns over time during a spatial memory task, with different cell populations changing at different rates.

This study uses biophysically-detailed modeling to show that prefrontal cortex oscillations and local inhibition gate signal propagation from working memory, with resonant frequency tunable by deep layer excitability.

This study characterizes population coding in monkey prefrontal cortex and hippocampus during learning using a new metric called normalized distance.

The paper identifies an egocentric spatial code in the retrosplenial cortex that is context invariant and supports spatial coordinate transformations.

The paper investigates trajectory-dependent splitter neurons in mice, finding they are more stable than place cells and support memory-guided navigation.

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.

This paper shows that prefrontal cortex networks with strong feedback inhibition generate internal oscillations and selectively respond to external oscillations at similar frequencies, with resonance properties that can be tuned.