Dean V. Buonomano

STIMscope: centimeter-scale all-optical imaging and patterned optogenetic manipulation at single-cell resolution

The paper introduces STIMscope, a low-cost, open-source platform for all-optical imaging and optogenetic manipulation at single-cell resolution, validated in multiple biological systems.

Hippocampal sequences represent working memory and implicit timing

This study investigates how hippocampal sequences represent working memory and implicit timing in a rodent task where odor identity predicts delay duration.

Stable recurrent dynamics in heterogeneous neuromorphic computing systems using excitatory and inhibitory plasticity

This paper demonstrates a learning rule for neuromorphic systems that balances excitation and inhibition, enabling robust self-sustained dynamics despite device variability.

Ex Vivo Cortical Circuits Learn to Predict and Spontaneously Replay Temporal Patterns

The paper demonstrates that cortical circuits can learn and spontaneously replay temporal patterns through asymmetric connectivity and prediction mechanisms.

Unified control of temporal and spatial scales of sensorimotor behavior through neuromodulation of short-term synaptic plasticity

This study shows that neuromodulation of short-term synaptic plasticity scales neural dynamics and motor outputs in time and space using RNNs trained to produce handwritten digits.

Improvement of sensory deficits in Fragile X mice by increasing cortical interneuron activity after the critical period

Orchestrated Excitatory and Inhibitory Learning Rules Lead to the Unsupervised Emergence of Self-sustained and Inhibition-stabilized Dynamics

The paper demonstrates that orchestrated learning rules generate self-sustained and inhibition-stabilized neural dynamics in developing cortical circuits.

Multiplexing working memory and time: encoding retrospective and prospective information in neural trajectories

This study investigates whether working memory and timing share neural mechanisms by using psychophysical tasks and RNN simulations, finding that cue-specific neural sequences multiplex both functions.

Encoding time in neural dynamic regimes with distinct computational tradeoffs

This paper trains RNNs on timing tasks to investigate how neural dynamics encode time with different computational tradeoffs and generalization capabilities.

Differential excitability of PV and SST neurons results in distinct functional roles in inhibition stabilization of Up-states

The paper characterizes the intrinsic properties of PV and SST neurons and shows their distinct roles in stabilizing Up-states through computational modeling and experimental validation.

The Orbitofrontal Cortex in Temporal Cognition

This review reevaluates theories of orbitofrontal cortex function by incorporating temporal information into value estimation and decision making.

Musical expertise generalizes to superior temporal scaling in a Morse code tapping task

This study shows that musical expertise enhances temporal scaling ability, allowing better reproduction of motor patterns at different speeds in a Morse code tapping task.

Encoding Sensory and Motor Patterns as Time-Invariant Trajectories in Recurrent Neural Networks

This paper shows how recurrent neural networks can encode and transcribe spoken digits by generating time-invariant neural trajectories that generalize across spatial and temporal variations.