A5035742290- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Neurobiology and Insect Physiology Research
- Advanced Memory and Neural Computing
- Zebrafish Biomedical Research Applications
- Neurobiology of Language and Bilingualism
- Olfactory and Sensory Function Studies
- Neuroscience and Neuropharmacology Research
- Neuroscience and Music Perception
- Receptor Mechanisms and Signaling
- Neurotransmitter Receptor Influence on Behavior
- Psychosomatic Disorders and Their Treatments
- Fish biology, ecology, and behavior
- Advanced Malware Detection Techniques
- Traumatic Brain Injury Research
- Spam and Phishing Detection
- Mental Health Research Topics
- Advanced MRI Techniques and Applications
- Photoreceptor and optogenetics research
- Optimization and Search Problems
- Water Quality Monitoring Technologies
- Chemical Synthesis and Analysis
- Functional Brain Connectivity Studies
- Cephalopods and Marine Biology
- Cerebrospinal fluid and hydrocephalus
California Institute of Technology
2021-2024
Princeton University
2023-2024
University of California, Los Angeles
2014-2018
MRC Cognition and Brain Sciences Unit
2014
Addenbrooke's Hospital
2014
Medical Research Council
2014
University of Cambridge
2014
Western University
2014
The study of structural and functional magnetic resonance imaging data has greatly benefitted from the development sophisticated efficient algorithms aimed at automating optimizing analysis brain data. We address, in context segmentation non-brain tissue (i.e., extraction, also known as skull-stripping), tension between increased theoretical clinical interest patient data, difficulty conventional to function optimally presence gross pathology. Indeed, because reliance many on priors derived...
We employed functional MRI (fMRI) to assess whether (1) patients with disorders of consciousness (DOC) retain the ability willfully engage in top-down processing and (2) what neurophysiologic factors distinguish who can demonstrate this from cannot.
Animals learn certain complex tasks remarkably fast, sometimes after a single experience. What behavioral algorithms support this efficiency? Many contemporary studies based on two-alternative-forced-choice (2AFC) observe only slow or incomplete learning. As an alternative, we study the unconstrained behavior of mice in labyrinth and measure dynamics learning behaviors that enable it. A mouse makes ~2000 navigation decisions per hour. The animal explores maze, quickly discovers location...
An animal entering a new environment typically faces three challenges: explore the space for resources, memorize their locations, and navigate towards those targets as needed. Here we propose neural algorithm that can solve all these problems operates reliably in diverse complex environments. At its core, mechanism makes use of behavioral module common to motile animals, namely ability follow an odor source. We show how brain learn generate internal “virtual odors” guide any location...
As cyberattacks grow increasingly complex, addressing advanced threats requires approaches that adapt to dynamic and unpredictable behaviors. A new framework is introduced models malicious activities through Vectorised Behavior Graphs, capturing the intricate relationships temporal patterns of ransomware operations. By transforming these behaviors into structured graph representations, system enables precise detection machine learning techniques, achieving high accuracy while maintaining...
An animal entering a new environment typically faces three challenges: explore the space for resources, memorize their locations, and navigate towards those targets as needed. Here we propose neural algorithm that can solve all these problems operates reliably in diverse complex environments. At its core, mechanism makes use of behavioral module common to motile animals, namely ability follow an odor source. We show how brain learn generate internal "virtual odors" guide any location...
An animal entering a new environment typically faces three challenges: explore the space for resources, memorize their locations, and navigate towards those targets as needed. Experimental work on exploration, mapping, navigation has mostly focused simple environments – such an open arena [55], pond [35], or desert [37] much been learned about neural signals in diverse brain areas under these conditions [11, 45]. However, many natural are highly complex, system of burrows, intersecting paths...
Abstract Despite the ongoing epidemic of opioid use disorder and death by fentanyl overdose, opioids remain gold standard for analgesics. Pharmacokinetics (PK) dictates individual’s experience utility drugs; however, PK behavioral outcomes have been conventionally studied in separate groups, even preclinical models. To bridge this gap, we developed first class sensitive, selective, genetically encodable fluorescent biosensors, iOpioidSnFRs, including sensor, iFentanylSnFR. We expressed...
Abstract Animals learn certain complex tasks remarkably fast, sometimes after a single experience. What behavioral algorithms support this efficiency? Many contemporary studies based on two-alternative-forced-choice (2AFC) observe only slow or incomplete learning. As an alternative, we study the unconstrained behavior of mice in labyrinth and measure dynamics learning behaviors that enable it. A mouse makes ~2000 navigation decisions per hour. The animal quickly discovers location reward...
It is thought that frontostriatal circuits play an important role in mediating conditioned behavioral responses to environmental stimuli were previously encountered during drug administration. However, the neural correlates of drug-associated cues are not well understood at level large populations simultaneously recorded neurons, or local field potential (LFP) synchrony network. Here we introduce a assay arousal cocaine involving pupillometry awake head-restrained mice. After just 24 h...
Abstract An animal entering a new environment typically faces three challenges: explore the space for resources, memorize their locations, and navigate towards those targets as needed. Experimental work on exploration, mapping, navigation has mostly focused simple environments – such an open arena [68], pond [42], or desert [44] much been learned about neural signals in diverse brain areas under these conditions [12, 54]. However, many natural are highly structured, system of burrows,...
An animal entering a new environment typically faces three challenges: explore the space for resources, memorize their locations, and navigate towards those targets as needed. Experimental work on exploration, mapping, navigation has mostly focused simple environments – such an open arena [68], pond [42], or desert [44] much been learned about neural signals in diverse brain areas under these conditions [12, 54]. However, many natural are highly structured, system of burrows, intersecting...
Abstract The ability to process structured sequences is a central feature of natural language but also characterizes many other domains human cognition. In this fMRI study, we measured brain metabolic response in musicians as they generated and non-structured music. We employed univariate multivariate cross-classification approach provide evidence that common neural code underlies the production across two domains. Crucially, substrate includes Broca’s area, region well known for processing...