NeuroImage, Год журнала: 2025, Номер unknown, С. 121088 - 121088
Опубликована: Фев. 1, 2025
Язык: Английский
Trends in Cognitive Sciences, Год журнала: 2023, Номер 27(3), С. 246 - 257
Опубликована: Фев. 2, 2023
Neuroimaging research has been at the forefront of concerns regarding failure experimental findings to replicate. In study brain-behavior relationships, past failures find replicable and robust effects have attributed methodological shortcomings. Methodological rigor is important, but there are other overlooked possibilities: most published studies share three foundational assumptions, often implicitly, that may be faulty. this paper, we consider empirical evidence from human brain imaging non-human animals calls each assumption into question. We then opportunities for a science relationships await if scientists ground their efforts in revised assumptions supported by current evidence.
Язык: Английский
Процитировано
93
Trends in Neurosciences, Год журнала: 2023, Номер 46(7), С. 508 - 524
Опубликована: Май 8, 2023
The rapid and coordinated propagation of neural activity across the brain provides foundation for complex behavior cognition. Technical advances neuroscience subfields have advanced understanding these dynamics, but points convergence are often obscured by semantic differences, creating silos subfield-specific findings. In this review we describe how a parsimonious conceptualization state as fundamental building block whole-brain offers common framework to relate findings scales species. We present examples diverse techniques commonly used study states associated with physiology higher-order cognitive processes, discuss integration them will enable more comprehensive mechanistic characterization dynamics that crucial survival disrupted in disease.
Язык: Английский
Процитировано
80
Nature Neuroscience, Год журнала: 2023, Номер 27(1), С. 187 - 195
Опубликована: Ноя. 20, 2023
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 tracker deep network encoder for predicting Our algorithm tracking mouse was more accurate than existing pose estimation tools, while processing speed several times faster, making it powerful tool real-time experimental interventions. The Facemap easy adapt data from new labs, requiring as few 10 annotated frames near-optimal performance. We used keypoints inputs which predicts ~50,000 simultaneously-recorded neurons and, visual cortex, doubled amount explained variance compared previous methods. Using this model, found neuronal clusters were well predicted behavior spatially spread out cortex. also behavioral features model had stereotypical, sequential dynamics not reversible time. In summary, provides stepping stone toward understanding brain-wide signals their relation behavior.
Язык: Английский
Процитировано
55
Nature, Год журнала: 2024, Номер 628(8007), С. 381 - 390
Опубликована: Март 13, 2024
Язык: Английский
Процитировано
25
Cell Reports, Год журнала: 2024, Номер 43(2), С. 113709 - 113709
Опубликована: Янв. 26, 2024
During sensory-guided behavior, an animal's decision-making dynamics unfold through sequences of distinct performance states, even while stimulus-reward contingencies remain static. Little is known about the factors that underlie these changes in task performance. We hypothesize can be predicted by externally observable measures, such as uninstructed movements and arousal. Here, using computational modeling visual auditory data from mice, we uncovered lawful relationships between transitions strategic states arousal movements. Using hidden Markov models applied to behavioral choices during sensory discrimination tasks, find animals fluctuate minutes-long optimal, sub-optimal, disengaged states. Optimal state epochs are intermediate levels, reduced variability, pupil diameter movement. Our results demonstrate behaviors predict optimal suggest mice regulate their
Язык: Английский
Процитировано
17
Neuron, Год журнала: 2023, Номер 111(10), С. 1666 - 1683.e4
Опубликована: Март 14, 2023
Язык: Английский
Процитировано
23
Nature Human Behaviour, Год журнала: 2023, Номер 7(7), С. 1135 - 1151
Опубликована: Апрель 27, 2023
Abstract Sensory information encoded by humans and other organisms is generally presumed to be as accurate their biological limitations allow. However, perhaps counterintuitively, sensory representations may not necessarily maximize the organism’s chances of survival. To test this hypothesis, we developed a unified normative framework for fitness-maximizing encoding combining theoretical insights from neuroscience, computer science, economics. Behavioural experiments in revealed that strategies are flexibly adapted promote fitness maximization, result confirmed deep neural networks with capacity constraints trained solve same task humans. Moreover, human functional MRI data novel behavioural goals rely on object perception induce efficient stimulus early structures. These results suggest rules imposed environment applied at stages processing machines.
Язык: Английский
Процитировано
22
bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown
Опубликована: Март 17, 2024
Abstract Animals are often bombarded with visual information and must prioritize specific features based on their current needs. The neuronal circuits that detect relay have been well-studied. Yet, much less is known about how an animal adjusts its attention as goals or environmental conditions change. During social behaviors, flies need to focus nearby flies. Here, we study the flow of altered when female Drosophila enter aggressive state. From connectome, identified three state-dependent circuit motifs poised selectively amplify response fly-sized objects: convergence excitatory inputs from neurons conveying select internal state; dendritic disinhibition feature detectors; a switch toggles between two detectors. Using cell-type-specific genetic tools, together behavioral neurophysiological analyses, show each these function during aggression. We reveal this same operate in males courtship pursuit, suggesting disparate behaviors may share mechanisms. Our work provides compelling example using connectome infer mechanisms underlie dynamic processing sensory signals.
Язык: Английский
Процитировано
14
Nature Neuroscience, Год журнала: 2024, Номер unknown
Опубликована: Окт. 16, 2024
Abstract Neurophysiology has long progressed through exploratory experiments and chance discoveries. Anecdotes abound of researchers listening to spikes in real time noticing patterns activity related ongoing stimuli or behaviors. With the advent large-scale recordings, such close observation data become difficult. To find neural data, we developed ‘Rastermap’, a visualization method that displays neurons as raster plot after sorting them along one-dimensional axis based on their patterns. We benchmarked Rastermap realistic simulations then used it explore recordings tens thousands from mouse cortex during spontaneous, stimulus-evoked task-evoked epochs. also applied whole-brain zebrafish recordings; wide-field imaging data; electrophysiological rat hippocampus, monkey frontal various cortical subcortical regions mice; artificial networks. Finally, illustrate high-dimensional scenarios where similar algorithms cannot be effectively.
Язык: Английский
Процитировано
8
Journal of Computational Neuroscience, Год журнала: 2022, Номер 51(1), С. 1 - 21
Опубликована: Дек. 16, 2022
Recent developments in experimental neuroscience make it possible to simultaneously record the activity of thousands neurons. However, development analysis approaches for such large-scale neural recordings have been slower than those applicable single-cell experiments. One approach that has gained recent popularity is manifold learning. This takes advantage fact often, even though datasets may be very high dimensional, dynamics tends traverse a much lower-dimensional space. The topological structures formed by these low-dimensional subspaces are referred as "neural manifolds", and potentially provide insight linking circuit with cognitive function behavioral performance. In this paper we review number linear non-linear learning, including principal component (PCA), multi-dimensional scaling (MDS), Isomap, locally embedding (LLE), Laplacian eigenmaps (LEM), t-SNE, uniform approximation projection (UMAP). We outline methods under common mathematical nomenclature, compare their advantages disadvantages respect use data analysis. apply them from published literature, comparing manifolds result application hippocampal place cells, motor cortical neurons during reaching task, prefrontal multi-behavior task. find many circumstances algorithms produce similar results methods, although particular cases where complexity greater, tend manifolds, at expense interpretability. demonstrate study neurological disorders through simulation mouse model Alzheimer's Disease, speculate help us understand circuit-level consequences molecular cellular neuropathology.
Язык: Английский
Процитировано
32