Journal Article10.1146/ANNUREV-NEURO-062111-150509
Cortical control of arm movements: a dynamical systems perspective.
TL;DR: How a dynamical systems perspective may help to understand why neural activity evolves the way it does, how neural activity relates to movement parameters, and how a unified conceptual framework may result are reviewed.
read more
Abstract: Our ability to move is central to everyday life Investigating the neural control of movement in general, and the cortical control of volitional arm movements in particular, has been a major research focus in recent decades Studies have involved primarily either attempts to account for single-neuron responses in terms of tuning for movement parameters or attempts to decode movement parameters from populations of tuned neurons Even though this focus on encoding and decoding has led to many seminal advances, it has not produced an agreed-upon conceptual framework Interest in understanding the underlying neural dynamics has recently increased, leading to questions such as how does the current population response determine the future population response, and to what purpose? We review how a dynamical systems perspective may help us understand why neural activity evolves the way it does, how neural activity relates to movement parameters, and how a unified conceptual framework may result
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Context-dependent computation by recurrent dynamics in prefrontal cortex
TL;DR: This work studies prefrontal cortex activity in macaque monkeys trained to flexibly select and integrate noisy sensory inputs towards a choice, and finds that the observed complexity and functional roles of single neurons are readily understood in the framework of a dynamical process unfolding at the level of the population.
1.9K
Hippocampal sharp wave‐ripple: A cognitive biomarker for episodic memory and planning
TL;DR: Alteration of the physiological mechanisms supporting SPW‐Rs leads to their pathological conversion, “p‐ripples,” which are a marker of epileptogenic tissue and can be observed in rodent models of schizophrenia and Alzheimer's Disease.
1.6K
Cortical activity in the null space: permitting preparation without movement
TL;DR: It is found that during preparation, while the monkey holds still, changes in motor cortical activity cancel out at the level of these population readouts, and motor cortex can thereby prepare the movement without prematurely causing it.
Inferring single-trial neural population dynamics using sequential auto-encoders.
Chethan Pandarinath,Daniel J. O’Shea,Jasmine Collins,Rafal Jozefowicz,Rafal Jozefowicz,Sergey D. Stavisky,Jonathan C. Kao,Jonathan C. Kao,Eric M. Trautmann,Matthew T. Kaufman,Matthew T. Kaufman,Stephen I. Ryu,Stephen I. Ryu,Leigh R. Hochberg,Jaimie M. Henderson,Krishna V. Shenoy,Larry F. Abbott,David Sussillo,David Sussillo +18 more
TL;DR: LFADS, a deep learning method for analyzing neural population activity, can extract neural dynamics from single-trial recordings, stitch separate datasets into a single model, and infer perturbations, for example, from behavioral choices to these dynamics.
Neural basis of the perception and estimation of time
TL;DR: It is proposed that the interconnections built into this core timing mechanism are designed to provide a form of degeneracy as protection against injury, disease, or age-related decline.
723
References
Posterior parietal association cortex of the monkey: command functions for operations within extrapersonal space
TL;DR: A large proportion of area 5 neurons were relatively insensitive to passive joint rotations, as compared with similar neurons of the postcentral gyrus, but were driven to high rates of discharge when the same joint was rotated during an active movement of the animal.
Dynamic Encoding of Movement Direction in Motor Cortical Neurons
TL;DR: It is found that the decoding accuracy decreases if the precise task time, or the previous information that was available to the monkey, were disregarded in the decoding process, and an optimal strategy for the readout of movement parameters from motor cortex should take into account time and contextual parameters.
A wireless multi-channel neural amplifier for freely moving animals
Toban A. Szuts,Vitaliy Fadeyev,S. Kachiguine,Alexander Sher,Matthew V. Grivich,Margarida Agrochão,Margarida Agrochão,Pawel Hottowy,Wladyslaw Dabrowski,Evgueniy V. Lubenov,Anthanassios G. Siapas,Naoshige Uchida,Alan Litke,Markus Meister +13 more
TL;DR: A wireless multi-channel system for recording neural signals from rats was developed, which introduces <4 μV of electrode-referred noise, comparable to wired recording systems, and outperforms existing rodent telemetry systems in channel count, weight and transmission range.
Temporal encoding of movement kinematics in the discharge of primate primary motor and premotor neurons.
TL;DR: A clear temporal segregation and ordering is found in the onset of the parameter-related partial R2 values: direction-related discharge occurred first (115 ms before movement onset), followed sequentially by target position and movement distance (248 ms after movement onset); some overlap in the timing of the correlation of these parameters was evident.
Challenges and Opportunities for Next-Generation Intracortically Based Neural Prostheses
Vikash Gilja,Cynthia A. Chestek,Ilka Diester,Jaimie M. Henderson,Karl Deisseroth,Krishna V. Shenoy +5 more
TL;DR: If these challenges can be largely or fully met, intracortically based neural prostheses may achieve true clinical viability and help increasing numbers of disabled patients.