
NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121088 - 121088
Published: Feb. 1, 2025
Language: Английский
NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121088 - 121088
Published: Feb. 1, 2025
Language: Английский
Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(8), P. 487 - 501
Published: June 28, 2023
Language: Английский
Citations
20Nature Mental Health, Journal Year: 2023, Volume and Issue: 1(11), P. 827 - 840
Published: Nov. 2, 2023
Language: Английский
Citations
20bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown
Published: July 28, 2023
Abstract Neurophysiology has long progressed through exploratory experiments and chance discoveries. Anecdotes abound of researchers setting up while listening to spikes in real time observing a pattern consistent firing when certain stimuli or behaviors happened. With the advent large-scale recordings, such close observation data become harder because high-dimensional spaces are impenetrable our pattern-finding intuitions. To help ourselves find patterns neural data, lab been openly developing visualization framework known as “Rastermap” over past five years. Rastermap takes advantage new global optimization algorithm for sorting responses along one-dimensional manifold. Displayed raster plot, sorted neurons show variety activity patterns, which can be more easily identified interpreted. We first benchmark on realistic simulations with multiplexed cognitive variables. Then we demonstrate it recordings tens thousands from mouse visual sensorimotor cortex during spontaneous, stimulus-evoked task-evoked epochs, well whole-brain zebrafish widefield calcium imaging population rat hippocampus artificial networks. Finally, illustrate scenarios where similar algorithms cannot used effectively.
Language: Английский
Citations
19Trends in Cognitive Sciences, Journal Year: 2024, Volume and Issue: 28(3), P. 264 - 277
Published: Feb. 9, 2024
Is the role of our sensory systems to represent physical world as accurately possible? If so, are preferences and emotions, often deemed irrational, decoupled from these 'ground-truth' experiences? We show why answer both questions is 'no'. Brain function metabolically costly, brain loses some fraction information that it encodes transmits. Therefore, if brains maximize objective functions increase fitness their species, they should adapt objective-maximizing rules environment at earliest stages processing. Consequently, observed 'irrationalities', preferences, emotions stem necessity for early process while considering metabolic costs internal states organism.
Language: Английский
Citations
7Journal of Experimental Biology, Journal Year: 2024, Volume and Issue: 227(4)
Published: Feb. 15, 2024
ABSTRACT Humans have been trying to understand animal behavior at least since recorded history. Recent rapid development of new technologies has allowed us make significant progress in understanding the physiological and molecular mechanisms underlying behavior, a key goal neuroethology. However, there is tradeoff when studying its biological mechanisms: common protocols laboratory are designed be replicable controlled, but they often fail encompass variability breadth natural behavior. This Commentary proposes framework 10 questions that aim guide researchers incorporating rich context into their experimental design or choosing study system. The cover overarching considerations can provide template for interspecies comparisons, enable develop studies model organisms unlock experiments our quest
Language: Английский
Citations
6Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(18)
Published: April 22, 2024
Cortical neurons exhibit highly variable responses over trials and time. Theoretical works posit that this variability arises potentially from chaotic network dynamics of recurrently connected neurons. Here, we demonstrate neural dynamics, formed through synaptic learning, allow networks to perform sensory cue integration in a sampling-based implementation. We show the emergent provide substrates for generating samples not only static but also dynamical trajectory, where generic recurrent acquire these abilities with biologically plausible learning rule trial error. Furthermore, generalize their experience stimulus-evoked inference without partial or all information, which suggests computational role spontaneous activity as representation priors well tractable biological computation marginal distributions. These findings suggest may serve brain function Bayesian generative model.
Language: Английский
Citations
6Cell Reports, Journal Year: 2023, Volume and Issue: 43(1), P. 113618 - 113618
Published: Dec. 26, 2023
Goal-directed behaviors involve coordinated activity in many cortical areas, but whether the encoding of task variables is distributed across areas or more specifically represented distinct remains unclear. Here, we compared representations sensory, motor, and decision information whisker primary somatosensory cortex, medial prefrontal tongue-jaw motor cortex mice trained to lick response a stimulus with that were not taught this association. Irrespective learning, properties sensory best encoded whereas fine movement kinematics cortex. However, initiation all three neurons being selective, showing minimal responses miss trials during spontaneous licks. Our results reconcile previous studies indicating highly specific vs. sensorimotor processing.
Language: Английский
Citations
14Current Biology, Journal Year: 2023, Volume and Issue: 33(16), P. 3436 - 3451.e7
Published: Aug. 1, 2023
During reward-based learning tasks, animals make orofacial movements that globally influence brain activity at the timings of reward expectation and acquisition. These are not explicitly instructed typically appear along with goal-directed behaviors. Here, we show reinforcing optogenetic stimulation dopamine neurons in ventral tegmental area (oDAS) mice is sufficient to induce whiskers nose without accompanying Pavlovian conditioning a sensory cue oDAS elicited cue-locked oDAS-aligned movements, which were distinguishable by machine-learning model. Inhibition or knockout D1 receptors nucleus accumbens inhibited oDAS-induced motion but spared motion, suggesting differential regulation these two types motions. In contrast, inactivation whisker primary motor cortex (wM1) abolished both movements. We found specific neuronal populations wM1 representing either Notably, successfully replicated Our results thus suggest accumbal D1-receptor-dependent -independent signals converge for facilitating distinct uninstructed during task.
Language: Английский
Citations
13Cell Reports, Journal Year: 2024, Volume and Issue: 43(7), P. 114371 - 114371
Published: June 25, 2024
Language: Английский
Citations
5bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2022, Volume and Issue: unknown
Published: Nov. 4, 2022
Abstract Recent studies in mice have shown that orofacial behaviors drive a large fraction of neural activity across the brain. To understand nature and function these signals, we need better computational models to characterize relate them activity. Here developed Facemap, framework consisting keypoint tracking algorithm deep network encoder for predicting We used Facemap keypoints as input predict ∼50,000 simultaneously-recorded neurons visual cortex doubled amount explained variance compared previous methods. Our was more accurate than existing pose estimation tools, while inference speed several times faster, making it powerful tool closed-loop behavioral experiments. The tracker easy adapt data from new labs, requiring few 10 annotated frames near-optimal performance. find neuronal clusters which were highly driven by spatially spread-out cortex. also found features inferred model had time-asymmetrical state dynamics not apparent raw data. In summary, provides stepping stone towards understanding brainwide signals their relation behavior.
Language: Английский
Citations
21