@article {68647, title = {Brain-wide neural activity underlying memory-guided movement}, journal = {bioRxiv}, year = {2023}, month = {2023 Mar 02}, abstract = {

Behavior requires neural activity across the brain, but most experiments probe neurons in a single area at a time. Here we used multiple Neuropixels probes to record neural activity simultaneously in brain-wide circuits, in mice performing a memory-guided directional licking task. We targeted brain areas that form multi-regional loops with anterior lateral motor cortex (ALM), a key circuit node mediating the behavior. Neurons encoding sensory stimuli, choice, and actions were distributed across the brain. However, in addition to ALM, coding of choice was concentrated in subcortical areas receiving input from ALM, in an ALM-dependent manner. Choice signals were first detected in ALM and the midbrain, followed by the thalamus, and other brain areas. At the time of movement initiation, choice-selective activity collapsed across the brain, followed by new activity patterns driving specific actions. Our experiments provide the foundation for neural circuit models of decision-making and movement initiation.

}, doi = {10.1101/2023.03.01.530520}, url = {https://doi.org/10.1101/2023.03.01.530520}, author = {Susu Chen and Yi Liu and Ziyue Wang and Jennifer Colonell and Liu D. Liu and Han Hou and Nai-Wen Tien and Tim Wang and Timothy Harris and Shaul Druckmann and Nuo Li and Karel Svoboda} } @article {68829, title = {Not everything, not everywhere, not all at once: a study of brain-wide encoding of movement}, journal = {bioRxiv}, year = {2023}, month = {2023 Jun 09}, abstract = {

Activity related to movement is found throughout sensory and motor regions of the brain. However, it remains unclear how movement-related activity is distributed across the brain and whether systematic differences exist between brain areas. Here, we analyzed movement related activity in brain-wide recordings containing more than 50,000 neurons in mice performing a decision-making task. Using multiple techniques, from markers to deep neural networks, we find that movement-related signals were pervasive across the brain, but systematically differed across areas. Movement-related activity was stronger in areas closer to the motor or sensory periphery. Delineating activity in terms of sensory- and motor-related components revealed finer scale structures of their encodings within brain areas. We further identified activity modulation that correlates with decision-making and uninstructed movement. Our work charts out a largescale map of movement encoding and provides a roadmap for dissecting different forms of movement and decision-making related encoding across multi-regional neural circuits.

}, doi = {10.1101/2023.06.08.544257}, url = {https://doi.org/10.1101/2023.06.08.544257}, author = {Ziyue Aiden Wang and Susu Chen and Yi Liu and Dave Liu and Karel Svoboda and Nuo Li and Shaul Druckmann} } @article {65047, title = {Multiplicative updates for optimization problems with dynamics.}, journal = {IEEE Xplore}, year = {2018}, month = {2018 Apr 16}, abstract = {

We consider the problem of optimizing general convex objective functions with nonnegativity constraints. Using the Karush-Kuhn-Tucker (KKT) conditions for the nonnegativity constraints we will derive fast multiplicative update rules for several problems of interest in signal processing, including non-negative deconvolution, point-process smoothing, ML estimation for Poisson Observations, nonnegative least squares and nonnegative matrix factorization (NMF). Our algorithm can also account for temporal and spatial structure and regularization. We will analyze the performance of our algorithm on simultaneously recorded neuronal calcium imaging and electrophysiology data.

}, doi = {10.1109/ACSSC.2017.8335723}, author = {Abbas Kazemipour and Behtash Babadi and wu, min and Podgorski, Kaspar and Shaul Druckmann} } @article {6713, title = {Structured synaptic connectivity between hippocampal regions.}, journal = {Neuron}, volume = {81}, year = {2014}, month = {2014 Feb 5}, pages = {629-40}, abstract = {

The organization of synaptic connectivity within a neuronal circuit is a prime determinant of circuit function. We performed a comprehensive fine-scale circuit mapping of hippocampal regions (CA3-CA1) using the newly developed synapse labeling method, mGRASP. This mapping revealed spatially nonuniform and clustered synaptic connectivity patterns. Furthermore, synaptic clustering was enhanced between groups of neurons that shared a similar developmental/migration time window, suggesting a mechanism for establishing the spatial structure of synaptic connectivity. Such connectivity patterns are thought to effectively engage active dendritic processing and storage mechanisms, thereby potentially enhancing neuronal feature selectivity.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2013.11.026}, author = {Shaul Druckmann and Feng, Linqing and Lee, Bokyoung and Yook, Chaehyun and Zhao, Ting and Magee, Jeffrey C and Kim, Jinhyun} }