[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 …

DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels

JP Bohnslav, NK Wimalasena, KJ Clausing, YY Dai… - Elife, 2021 - elifesciences.org
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 …

[HTML][HTML] Deep learning-based behavioral profiling of rodent stroke recovery

RZ Weber, G Mulders, J Kaiser, C Tackenberg, R Rust - BMC biology, 2022 - Springer
Background Stroke research heavily relies on rodent behavior when assessing underlying
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

CFV Latchoumane, DA Barany, L Karumbaiah… - Frontiers in …, 2020 - frontiersin.org
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) …

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 …

Unsupervised behaviour analysis and magnification (uBAM) using deep learning

B Brattoli, U Büchler, M Dorkenwald, P Reiser… - Nature Machine …, 2021 - nature.com
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 …

[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 …

[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 …

[HTML][HTML] New mechanistic insights, novel treatment paradigms, and clinical progress in cerebrovascular diseases

J Boltze, JA Aronowski, J Badaut… - Frontiers in aging …, 2021 - frontiersin.org
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 …

A Matlab-based toolbox for characterizing behavior of rodents engaged in string-pulling

S Inayat, S Singh, A Ghasroddashti, Qandeel… - Elife, 2020 - elifesciences.org
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 …