Loren M. Frank

A cognitive representation in primary visual cortex modulated by vision

The paper shows that path-invariant activity in V1 neurons is modulated by visual stimuli rather than replaced, linking V1 to a brain-wide network involved in learning.

Left-right alternation of superior colliculus activity with the stepping rhythm

The paper shows that superior colliculus neurons in mice fire at opposite phases of the stepping rhythm, supporting left-right turn coordination during locomotion.

Hippocampal representations of possible futures predict motor output in the superior colliculus

The paper shows that hippocampal representations of possible future paths predict motor output in the superior colliculus during navigation.

Naturalistic behavior and self-generated neural activity predictive of self-correction.

The paper develops a task for rats to study self-correction and finds distinct hippocampal representations during this process.

Explainable prediction and simulation of complex system dynamics through networks of manifolds

This paper introduces Generative Manifold Networks (GMNs) for modeling complex system dynamics, demonstrating their ability to predict and simulate chaotic and neural dynamics with explainability.

Meta-learning is expressed through altered prefrontal cortical dynamics

This study shows that meta-learning in rats involves changes in prefrontal cortical dynamics that enable rule-based reward learning.

RealtimeDecoder: A fast software module for online clusterless decoding

RealtimeDecoder is a Python-based system for real-time clusterless decoding of neural data with low latency and no spike sorting, demonstrated in rodent hippocampus recordings.

Sensorimotor Theta Oscillations Coordinate Speech Movements

The paper identifies sensorimotor theta oscillations as an intrinsic timing mechanism coordinating speech motor control through phase coherence and rhythmic activation patterns.

Disruption of theta-timescale spiking impairs learning but spares hippocampal replay

This study shows that disrupting theta-timescale spiking during locomotion impairs learning but does not affect hippocampal replay during immobility in rats.

Closed-loop modulation of remote hippocampal representations with neurofeedback

This study shows rats can learn to generate specific remote hippocampal representations through neurofeedback without external cues or behavioral reports.

Hippocampal representations of alternative possibilities are flexibly generated to meet cognitive demands

The paper shows that rat hippocampus generates flexible representations of alternative spatial locations during navigation, modulated by changing cognitive demands.

Neurofeedback training can modulate task-relevant memory replay rate in rats

This study shows that neurofeedback training increases task-relevant memory replay in rats by altering SWR temporal dynamics.

Spyglass: a framework for reproducible and shareable neuroscience research

Spyglass provides a reproducible and shareable framework for neuroscience research, enabling data reuse and analysis across labs using standardized formats and pipelines.

Regional specialization manifests in the reliability of neural population codes

The paper shows that while dmPFC and OFC encode similar task elements, their neural coding reliability differs, supporting distinct cognitive functions.

Dual credit assignment processes underlie dopamine signals in a complex spatial environment

The paper shows dopamine signals in rats update value through two learning processes during foraging in a complex environment.

Resolving Non-identifiability Mitigates Bias in Models of Neural Tuning and Functional Coupling

The paper identifies and mitigates bias in neural data models by resolving non-identifiability, showing that coupling is overestimated and tuning is underestimated in common methods.

The Neurodata Without Borders ecosystem for neurophysiological data science

The paper describes the Neurodata Without Borders (NWB) ecosystem, which enables FAIR neurophysiological data management and analysis across species and modalities.

Spatial preferences account for inter-animal variability during the continual learning of a dynamic cognitive task

The paper identifies spatial preferences in rats during a spatial alternation task, showing how these preferences contribute to inter-animal variability in learning.

A Variable Clock Underlies Internally Generated Hippocampal Sequences

The paper investigates how hippocampal spiking during sharp wave-ripples (SWRs) varies with experience, suggesting a mechanism for temporally flexible memory storage.

Dynamic Synchronization between Hippocampal Spatial Representations and the Stepping Rhythm

The paper investigates the synchronization between hippocampal spatial representations and limb movement rhythms in rats, finding coordinated timing between plant times and hippocampal spatial encoding.

Dentate Gyrus and CA3 GABAergic Interneurons Bidirectionally Modulate Signatures of Internal and External Drive to CA1

The paper shows that PV+ and SST+ interneurons in the DG and CA3 differentially modulate information flow to CA1 by altering coupling signatures from CA3 and entorhinal cortex.

Hippocampal replay of experience at real-world speeds

This study develops a state space model to analyze hippocampal replay events in rats, finding that most replay events contain spatially coherent content and often occur at real-world speeds.

Hippocampal replay reflects specific past experiences rather than a plan for subsequent choice

This study investigates hippocampal replay during memory-guided behavior and finds that replay content reflects past experiences rather than future choices.

Total recall: episodic memory retrieval,choice, and memory confidence in the rat

This study shows rats can assess memory confidence to guide decisions and introduces a model linking memory dynamics, retrieval, choice, and confidence.

Scalable method for micro-CT analysis enables large scale quantitative characterization of brain lesions and implants

This paper introduces a scalable method for micro-CT analysis to quantitatively characterize brain lesions and implants while preserving the skull.

Prefrontal cortical activity predicts the extra-place field spiking of hippocampal place cells

The paper shows that isolated hippocampal place cell spiking during locomotion is phase-coupled to theta oscillations and predicted by prefrontal cortical activity, suggesting it reflects non-local spatial representations.

Real-Time Point Process Filter for Multidimensional Decoding Problems Using Mixture Models

The paper proposes a computationally efficient approximate point process filter using mixture models for real-time decoding of neural spiking activity in multidimensional spaces.

Constant sub-second cycling between representations of possible futures in the hippocampus

The paper shows hippocampal neurons cycle between representations of alternative future locations at 8 Hz, driven by theta rhythm, and also represent heading direction alternatives.

Dorsal and ventral hippocampus engage opposing networks in the nucleus accumbens

The paper shows that dorsal and ventral hippocampus engage opposing networks in the nucleus accumbens during spatial-reward memory processing.

Early Hippocampal Sharp-Wave Ripple Deficits Predict Later Learning and Memory Impairments in an Alzheimer’s Disease Mouse Model

The paper shows that reduced hippocampal sharp-wave ripple abundance and associated slow gamma power in Alzheimer’s disease mouse models predict later spatial memory impairments.