Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ashesh K. Dhawale"'
Autor:
Kristopher T. Jensen, Naama Kadmon Harpaz, Ashesh K. Dhawale, Steffen B. E. Wolff, Bence P. Ölveczky
Publikováno v:
Nature Neuroscience. 25:1664-1674
How an established behavior is retained and consistently produced by a nervous system in constant flux remains a mystery. One possible solution to ensure long-term stability in motor output is to fix the activity patterns of single neurons in the rel
Autor:
Ashesh K Dhawale, Rajesh Poddar, Steffen BE Wolff, Valentin A Normand, Evi Kopelowitz, Bence P Ölveczky
Publikováno v:
eLife, Vol 6 (2017)
Addressing how neural circuits underlie behavior is routinely done by measuring electrical activity from single neurons in experimental sessions. While such recordings yield snapshots of neural dynamics during specified tasks, they are ill-suited for
Externí odkaz:
https://doaj.org/article/d41b7bbc3b724c3c9a2f29afbd3a8e21
Autor:
Krishna V. Shenoy, Niru Maheswaranathan, Eric M. Trautmann, Surya Ganguli, Tucker G. Fisher, Dmitry Rinberg, Ben Poole, Stephen I. Ryu, Ashesh K. Dhawale, Roman Shusterman, David H. Brann, Bence P. Ölveczky, Alex H. Williams, Christopher D. Wilson
Publikováno v:
Neuron
Though the temporal precision of neural computation has been studied intensively, a data-driven determination of this precision remains a fundamental challenge. Reproducible spike time patterns may be obscured on single trials by uncontrolled tempora
Autor:
Kristopher T. Jensen, Bence P. Ölveczky, Naama Kadmon Harpaz, Steffen B. E. Wolff, Ashesh K. Dhawale
How established behaviors are retained and stably produced by a nervous system in constant flux remains a mystery. One possible solution is to fix the activity patterns of single neurons in the relevant circuits. Alternatively, activity in these circ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6972fb6fb5f9b9f7000ff86772e1c86b
https://doi.org/10.1101/2021.10.27.465945
https://doi.org/10.1101/2021.10.27.465945
Publikováno v:
eLife, Vol 3 (2014)
Animals can learn causal relationships between pairs of stimuli separated in time and this ability depends on the hippocampus. Such learning is believed to emerge from alterations in network connectivity, but large-scale connectivity is difficult to
Externí odkaz:
https://doaj.org/article/0c38df91b7db49b7abdc775728775774
Publikováno v:
Annual Review of Neuroscience. 40:479-498
Trial-to-trial variability in the execution of movements and motor skills is ubiquitous and widely considered to be the unwanted consequence of a noisy nervous system. However, recent studies have suggested that motor variability may also be a featur
SummaryHow the basal ganglia contribute to the execution of learned motor skills has been thoroughly investigated. The two dominant models that have emerged posit roles for the basal ganglia in action selection and in the modulation of movement vigor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88ab35d0519d9e57132d82ed5ebdd85e
Publikováno v:
Curr Biol
Summary Trial-to-trial movement variability can both drive motor learning and interfere with expert performance, suggesting benefits of regulating it in context-specific ways. Here we address whether and how the brain regulates motor variability as a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32e1bb3df7108982e7abe7d091fa5b21
https://europepmc.org/articles/PMC7339968/
https://europepmc.org/articles/PMC7339968/
Autor:
Adam R. Kampff, Raymond Ko, Rajesh Poddar, Timothy Markman, Antoniu L. Fantana, Ashesh K. Dhawale, Risa Kawai, Bence P. Ölveczky
Publikováno v:
Neuron. 86:800-812
SummaryMotor cortex is widely believed to underlie the acquisition and execution of motor skills, but its contributions to these processes are not fully understood. One reason is that studies on motor skills often conflate motor cortex’s establishe
Autor:
Evi Kopelowitz, Valentin A Normand, Ashesh K. Dhawale, Bence P. Ölveczky, Rajesh Poddar, Steffen B. E. Wolff
Publikováno v:
eLife
eLife, Vol 6 (2017)
eLife, Vol 6 (2017)
SummaryAddressing how neural circuits underlie behavior is routinely done by measuring electrical activity from single neurons during experimental sessions. While such recordings yield snapshots of neural dynamics during specified tasks, they are ill