[HTML][HTML] The neuroscience of spatial navigation and the relationship to artificial intelligence
E Bermudez-Contreras, BJ Clark… - Frontiers in Computational …, 2020 - frontiersin.org
Recent advances in artificial intelligence (AI) and neuroscience are impressive. In AI, this
includes the development of computer programs that can beat a grandmaster at GO or …
includes the development of computer programs that can beat a grandmaster at GO or …
DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels
Videos of animal behavior are used to quantify researcher-defined behaviors of interest to
study neural function, gene mutations, and pharmacological therapies. Behaviors of interest …
study neural function, gene mutations, and pharmacological therapies. Behaviors of interest …
[HTML][HTML] Deep learning-based behavioral profiling of rodent stroke recovery
Background Stroke research heavily relies on rodent behavior when assessing underlying
disease mechanisms and treatment efficacy. Although functional motor recovery is …
disease mechanisms and treatment efficacy. Although functional motor recovery is …
[HTML][HTML] Neurostimulation and reach-to-grasp function recovery following acquired brain injury: insight from pre-clinical rodent models and human applications
Reach-to-grasp is an evolutionarily conserved motor function that is adversely impacted
following stroke and traumatic brain injury (TBI). Non-invasive brain stimulation (NIBS) …
following stroke and traumatic brain injury (TBI). Non-invasive brain stimulation (NIBS) …
Artificial intelligence-driven phenotyping of zebrafish psychoactive drug responses
DV Bozhko, VO Myrov, SM Kolchanova… - Progress in Neuro …, 2022 - Elsevier
Zebrafish (Danio rerio) are rapidly emerging in biomedicine as promising tools for disease
modelling and drug discovery. The use of zebrafish for neuroscience research is also …
modelling and drug discovery. The use of zebrafish for neuroscience research is also …
Unsupervised behaviour analysis and magnification (uBAM) using deep learning
Motor behaviour analysis is essential to biomedical research and clinical diagnostics as it
provides a non-invasive strategy for identifying motor impairment and its change caused by …
provides a non-invasive strategy for identifying motor impairment and its change caused by …
[HTML][HTML] Epileptic seizures and link to memory processes
R Das, A Luczak - AIMS neuroscience, 2022 - ncbi.nlm.nih.gov
Epileptogenesis is a complex and not well understood phenomenon. Here, we explore the
hypothesis that epileptogenesis could be “hijacking” normal memory processes, and how …
hypothesis that epileptogenesis could be “hijacking” normal memory processes, and how …
[HTML][HTML] Application of Spatio-Temporal Context and Convolution Neural Network (CNN) in Grooming Behavior of Bactrocera minax (Diptera: Trypetidae) Detection …
Z Zhang, W Zhan, Z He, Y Zou - Insects, 2020 - mdpi.com
Simple Summary Traditional manual insect grooming behavior statistical methods are time-
consuming, labor-intensive, and error-prone. In response to this problem, we proposed a …
consuming, labor-intensive, and error-prone. In response to this problem, we proposed a …
[HTML][HTML] New mechanistic insights, novel treatment paradigms, and clinical progress in cerebrovascular diseases
The past decade has brought tremendous progress in diagnostic and therapeutic options for
cerebrovascular diseases as exemplified by the advent of thrombectomy in ischemic stroke …
cerebrovascular diseases as exemplified by the advent of thrombectomy in ischemic stroke …
A Matlab-based toolbox for characterizing behavior of rodents engaged in string-pulling
String-pulling by rodents is a behavior in which animals make rhythmical body, head, and
bilateral forearm as well as skilled hand movements to spontaneously reel in a string …
bilateral forearm as well as skilled hand movements to spontaneously reel in a string …