Chethan Pandarinath
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View article: Spinal interneuron population dynamics underlying flexible pattern generation
Spinal interneuron population dynamics underlying flexible pattern generation Open
The mammalian spinal locomotor network is composed of diverse populations of interneurons that collectively orchestrate and execute a range of locomotor behaviors. As the number of identified classes of spinal interneurons constituting the…
View article: Preparatory encoding of diverse features of intended movement in the human motor cortex
Preparatory encoding of diverse features of intended movement in the human motor cortex Open
Over the course of a voluntary movement, motor cortical activity exhibits a transition from preparation to execution, with markedly different activity across these phases. Preparatory activity in particular might be used to improve brain-c…
View article: Behavioral signature of trihexyphenidyl in the TOR1A (DYT1) knockin mouse model of dystonia
Behavioral signature of trihexyphenidyl in the TOR1A (DYT1) knockin mouse model of dystonia Open
Dystonia is a neurological disorder characterized by involuntary repetitive movements and abnormal postures. Animal models have played a pivotal role in studying the pathophysiology of dystonia. However, many genetic models, e.g., the (DY…
View article: Inner speech in motor cortex and implications for speech neuroprostheses
Inner speech in motor cortex and implications for speech neuroprostheses Open
View article: Behavioral Signature of Trihexyphenidyl in The <i>Tor1a</i> (DYT1) Knockin Mouse Model of Dystonia
Behavioral Signature of Trihexyphenidyl in The <i>Tor1a</i> (DYT1) Knockin Mouse Model of Dystonia Open
Dystonia is a neurological disorder characterized by involuntary repetitive movements and abnormal postures. Animal models have played a pivotal role in studying the pathophysiology of dystonia. However, many genetic models, e.g. the Tor1a…
View article: Encoding of speech modes and loudness in ventral precentral gyrus
Encoding of speech modes and loudness in ventral precentral gyrus Open
The ability to vary the mode and loudness of speech is an important part of the expressive range of human vocal communication. However, the encoding of these behaviors in the ventral precentral gyrus (vPCG) has not been studied at the reso…
View article: Pseudo-linear summation explains neural geometry of multi-finger movements in human premotor cortex
Pseudo-linear summation explains neural geometry of multi-finger movements in human premotor cortex Open
View article: A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution
A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution Open
View article: Computation-through-Dynamics Benchmark: Simulated datasets and quality metrics for dynamical models of neural activity
Computation-through-Dynamics Benchmark: Simulated datasets and quality metrics for dynamical models of neural activity Open
A primary goal of systems neuroscience is to discover how ensembles of neurons transform inputs into goal-directed behavior, a process known as neural computation. A powerful framework for understanding neural computation uses neural dynam…
View article: Reducing power requirements for high-accuracy decoding in iBCIs
Reducing power requirements for high-accuracy decoding in iBCIs Open
Objective. Current intracortical brain-computer interfaces (iBCIs) rely predominantly on threshold crossings (‘spikes’) for decoding neural activity into a control signal for an external device. Spiking data can yield high accuracy online …
View article: Representation of verbal thought in motor cortex and implications for speech neuroprostheses
Representation of verbal thought in motor cortex and implications for speech neuroprostheses Open
Speech brain-computer interfaces show great promise in restoring communication for people who can no longer speak 1–3 , but have also raised privacy concerns regarding their potential to decode private verbal thought 4–6 . Using multi-unit…
View article: A mosaic of whole-body representations in human motor cortex
A mosaic of whole-body representations in human motor cortex Open
Summary Understanding how the body is represented in motor cortex is key to understanding how the brain controls movement. The precentral gyrus (PCG) has long been thought to contain largely distinct regions for the arm, leg and face (repr…
View article: Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark Open
Intracortical brain-computer interfaces (iBCIs) can restore movement and communication abilities to individuals with paralysis by decoding their intended behavior from neural activity recorded with an implanted device. While this activity …
View article: Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes Open
Recent advances in recording technology have allowed neuroscientists to monitor activity from thousands of neurons simultaneously. Latent variable models are increasingly valuable for distilling these recordings into compact and interpreta…
View article: Spinal interneuron population dynamics underlying flexible pattern generation
Spinal interneuron population dynamics underlying flexible pattern generation Open
The mammalian spinal locomotor network is composed of diverse populations of interneurons that collectively orchestrate and execute a range of locomotor behaviors. Despite the identification of many classes of spinal interneurons constitut…
View article: BRAND: a platform for closed-loop experiments with deep network models
BRAND: a platform for closed-loop experiments with deep network models Open
Objective. Artificial neural networks (ANNs) are state-of-the-art tools for modeling and decoding neural activity, but deploying them in closed-loop experiments with tight timing constraints is challenging due to their limited support in e…
View article: Identifying Distinct Neural Features between the Initial and Corrective Phases of Precise Reaching Using AutoLFADS
Identifying Distinct Neural Features between the Initial and Corrective Phases of Precise Reaching Using AutoLFADS Open
Many initial movements require subsequent corrective movements, but how the motor cortex transitions to make corrections and how similar the encoding is to initial movements is unclear. In our study, we explored how the brain's motor corte…
View article: BRAND: A platform for closed-loop experiments with deep network models
BRAND: A platform for closed-loop experiments with deep network models Open
This is the supporting data for "BRAND: A platform for closed-loop experiments with deep network models". It can be analyzed using the code at github.com/brandbci/paper-figures. This dataset contains: Latency measurements from computers ru…
View article: BRAND: A platform for closed-loop experiments with deep network models
BRAND: A platform for closed-loop experiments with deep network models Open
This is the supporting data for "BRAND: A platform for closed-loop experiments with deep network models". It can be analyzed using the code at github.com/brandbci/paper-figures. This dataset contains: Latency measurements from computers ru…
View article: Author Response: Myomatrix arrays for high-definition muscle recording
Author Response: Myomatrix arrays for high-definition muscle recording Open
View article: Myomatrix arrays for high-definition muscle recording
Myomatrix arrays for high-definition muscle recording Open
Neurons coordinate their activity to produce an astonishing variety of motor behaviors. Our present understanding of motor control has grown rapidly thanks to new methods for recording and analyzing populations of many individual neurons o…
View article: Myomatrix arrays for high-definition muscle recording
Myomatrix arrays for high-definition muscle recording Open
Neurons coordinate their activity to produce an astonishing variety of motor behaviors. Our present understanding of motor control has grown rapidly thanks to new methods for recording and analyzing populations of many individual neurons o…
View article: Reviewer #1 (Public Review): Myomatrix arrays for high-definition muscle recording
Reviewer #1 (Public Review): Myomatrix arrays for high-definition muscle recording Open
Neurons coordinate their activity to produce an astonishing variety of motor behaviors. Our present understanding of motor control has grown rapidly thanks to new methods for recording and analyzing populations of many individual neurons o…
View article: Author Response: Myomatrix arrays for high-definition muscle recording
Author Response: Myomatrix arrays for high-definition muscle recording Open
Neurons coordinate their activity to produce an astonishing variety of motor behaviors. Our present understanding of motor control has grown rapidly thanks to new methods for recording and analyzing populations of many individual neurons o…
View article: Reviewer #2 (Public Review): Myomatrix arrays for high-definition muscle recording
Reviewer #2 (Public Review): Myomatrix arrays for high-definition muscle recording Open
Neurons coordinate their activity to produce an astonishing variety of motor behaviors. Our present understanding of motor control has grown rapidly thanks to new methods for recording and analyzing populations of many individual neurons o…
View article: Pseudo-linear Summation explains Neural Geometry of Multi-finger Movements in Human Premotor Cortex
Pseudo-linear Summation explains Neural Geometry of Multi-finger Movements in Human Premotor Cortex Open
How does the motor cortex combine simple movements (such as single finger flexion/extension) into complex movements (such hand gestures or playing piano)? Motor cortical activity was recorded using intracortical multi-electrode arrays in t…
View article: Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity
Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity Open
The advent of large-scale neural recordings has enabled new methods to discover the computational mechanisms of neural circuits by understanding the rules that govern how their state evolves over time. While these \textit{neural dynamics} …
View article: Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity.
Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity. Open
The advent of large-scale neural recordings has enabled new approaches that aim to discover the computational mechanisms of neural circuits by understanding the rules that govern how their state evolves over time. While these neural dyn…
View article: lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems
lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems Open
Latent factor analysis via dynamical systems (LFADS) is an RNN-based variational sequential autoencoder that achieves state-of-the-art performance in denoising high-dimensional neural activity for downstream applications in science and eng…
View article: BRAND: A platform for closed-loop experiments with deep network models
BRAND: A platform for closed-loop experiments with deep network models Open
Artificial neural networks (ANNs) are state-of-the-art tools for modeling and decoding neural activity, but deploying them in closed-loop experiments with tight timing constraints is challenging due to their limited support in existing rea…