Howard J. Gritton

ABISS provides a low-cost, open-source platform for auditory and visual intrinsic optical signal imaging, producing comparable results to commercial systems.

The paper investigates how parvalbumin and somatostatin interneurons contribute to auditory scene analysis by examining their distinct roles in spatial processing and target-masker discrimination.

The paper shows that behaviorally relevant sound locations in mice organize auditory cortex activity through temporal coordination, not firing rate changes, during a reward-associated task.

This study shows that MOV10 loss in mice leads to enhanced fear learning through altered cortical connectivity and increased GABRA2 expression, suggesting new mechanisms for fear memory and potential therapeutic targets.

The paper introduces Living Neurosheets, modular neural systems that enable scalable, bio-inspired neural architectures with spatial control and multimodal integration.

This study uses optogenetics to show that Schaffer collateral pathway activation increases anxiety and fear behaviors, while temporoammonic pathway modulation affects fear but not anxiety.

The paper presents a network model of cortical circuits that explains how parvalbumin neurons enhance neural discriminability of dynamic stimuli through distinct temporal coding mechanisms.

The paper shows that 10 Hz sensory stimulation enhances delta rhythmicity of stepping movement and strengthens coupling between striatal networks and movement in mice.

The paper investigates how auditory cortex populations code competing sounds using information theory, finding that a diverse labeled line code outperforms summed population codes and achieves near-noiseless information transmission.

The paper introduces a modular, open-source platform for interfacing with living neurons, enabling scalable and versatile recording and stimulation across various neural cultures and applications.

The paper investigates the role of parvalbumin neurons in cortical temporal coding during complex scene analysis, finding that their suppression degrades dynamic sound discrimination in a cocktail party-like setting.

The paper shows that parvalbumin interneurons synchronize their membrane voltage with hippocampal theta rhythms, organizing spike timing and network dynamics during locomotion.

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.

The paper uses calcium imaging in mice to show that distinct CA1 neuronal populations and connectivity patterns underlie trace conditioning and extinction learning.

This paper demonstrates targeted illumination with SomArchon to enable large-scale voltage imaging in the brain, improving signal contrast and reducing background contamination.

This paper introduces a novel miniaturized mesoscope for cellular-resolution imaging of neural activity in freely behaving mice, enabling comprehensive visualization across brain regions.

The paper shows that increased alpha/beta oscillations and coherence between auditory and prefrontal cortices during extinction learning correlate with improved behavioral performance in mice.

The paper develops cell body-targeted calcium indicators to improve signal fidelity in one-photon imaging of neural activity in live mice and zebrafish.

The paper introduces a new genetically encoded voltage indicator, SomArchon, enabling high-speed, sensitive neural activity imaging in awake mice across multiple brain regions.

The paper introduces a Teensy microcontroller-based interface for precise camera control during behavioral experiments, demonstrating its flexibility and temporal precision in two experimental setups.

This study shows that muscarinic receptors in the auditory cortex regulate communication with the prefrontal cortex during passive auditory processing, influencing cortical gating and connectivity.

ACSAT automatically segments neurons in large-scale calcium imaging datasets using adaptive thresholding, achieving 80% precision and recall comparable to human inspection.