A5033521965- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Neuroscience and Neuropharmacology Research
- Complex Systems and Decision Making
- Neuroinflammation and Neurodegeneration Mechanisms
- Photoreceptor and optogenetics research
- Zebrafish Biomedical Research Applications
- Neuroscience and Neural Engineering
- Olfactory and Sensory Function Studies
- Cognitive Science and Mapping
- Artificial Intelligence in Healthcare and Education
- Molecular Communication and Nanonetworks
- Cardiac, Anesthesia and Surgical Outcomes
- Medical Imaging and Analysis
- Anesthesia and Neurotoxicity Research
- Herpesvirus Infections and Treatments
- RNA Interference and Gene Delivery
- Youth, Drugs, and Violence
- Advanced biosensing and bioanalysis techniques
- Virus-based gene therapy research
- HIV, Drug Use, Sexual Risk
- Neural Networks and Reservoir Computing
- HIV/AIDS Research and Interventions
- Advanced Memory and Neural Computing
- Coronary Interventions and Diagnostics
Columbia University
2017-2025
Brain (Germany)
2024-2025
National Cheng Kung University
2024
University of Edinburgh
2024
The axon initial segment of hippocampal pyramidal cells is a key subcellular compartment for action potential generation, under GABAergic control by the "chandelier" or axo-axonic (AACs). Although AACs are only cellular source GABA targeting segment, their in vivo activity patterns and influence over cell dynamics not well understood. We achieved cell-type-specific genetic access to mice show that area CA1 synchronously activated episodes locomotion whisking during rest. Bidirectional...
Abstract Learning and memory are fundamental to adaptive behavior cognition. Various forms of synaptic plasticity have been proposed as cellular substrates for the emergence feature selectivity in neurons underlying episodic memory. However, despite decades work, our understanding how underlies encoding remains limited, largely due a shortage tools technical challenges associated with visualization at single-neuron resolution awake-behaving animals. Behavioral Timescale Synaptic Plasticity...
Abstract Temporal lobe epilepsy (TLE) is characterized by recurrent seizures driven synchronous neuronal activity. The reorganization of the dentate gyrus (DG) in TLE may create pathological conduction pathways for discharges temporal lobe, though critical microcircuit-level detail missing from this pathophysiological intuition. In particular, relative contribution adult-born (abGC) and mature (mGC) granule cells to epileptiform network events remains unknown. We assess dynamics abGCs mGCs...
Investigators conducting behavioral experiments often need precise control over the timing of delivery stimuli to subjects and collect times subsequent responses. Furthermore, investigators want fine-tuned how various multi-modal cues are presented. behaviorMate takes an “Intranet Things” approach, using a networked system hardware software components for achieving these goals. The outputs file with integrated timestamp-event pairs that can then format process their own analysis pipelines....
Investigators conducting behavioral experiments often need precise control over the timing of delivery stimuli to subjects and collect times subsequent responses. Furthermore, investigators want fine-tuned how various multi-modal cues are presented. behaviorMate takes an ‘Intranet Things’ approach, using a networked system hardware software components for achieving these goals. The outputs file with integrated timestamp–event pairs that can then format process their own analysis pipelines....
Fast electrical signaling in dendrites is central to neural computations that support adaptive behaviors. Conventional techniques lack temporal and spatial resolution the ability track underlying membrane potential dynamics present across complex three-dimensional dendritic arbor vivo. Here, we perform fast two-photon imaging of somatic single pyramidal cells CA1 region mouse hippocampus during awake behavior. We study subthreshold suprathreshold events throughout vivo by combining voltage...
1 Abstract Investigators conducting behavioral experiments often need precise control over the timing of delivery stimuli to subjects and collect times subsequent responses. Furthermore, investigators want fine-tuned how various multi-modal cues are presented. behaviorMate takes an “Intranet Things” approach, using a networked system hardware software components for achieving these goals. The outputs file with integrated timestamp-event pairs that can then format process their own analysis...
Investigators conducting behavioral experiments often need precise control over the timing of delivery stimuli to subjects and collect times subsequent responses. Furthermore, investigators want fine-tuned how various multi-modal cues are presented. behaviorMate takes an “Intranet Things” approach, using a networked system hardware software components for achieving these goals. The outputs file with integrated timestamp-event pairs that can then format process their own analysis pipelines....
Investigators conducting behavioral experiments often need precise control over the timing of delivery stimuli to subjects and collect times subsequent responses. Furthermore, investigators want fine-tuned how various multi-modal cues are presented. behaviorMate takes an “Intranet Things” approach, using a networked system hardware software components for achieving these goals. The outputs file with integrated timestamp-event pairs that can then format process their own analysis pipelines....
Abstract Stable and flexible neural representations of space in the hippocampus are crucial for navigating complex environments. However, how these distinct emerge from underlying local circuit architecture remains unknown. Using two-photon imaging CA3 subareas during active behavior, we reveal opposing coding strategies within specific subregions, with proximal neurons demonstrating stable generalized distal showing dynamic context-specific activity. We show artificial network models that...
Artificial neuronal devices that emulate the dynamics of biological neurons are pivotal for advancing brain emulation and developing bio-inspired electronic systems. This paper presents design demonstration an artificial neuron circuit based on a Pt/V/AlO
First-Order, Reduced and Controlled Error (FORCE) learning its variants are widely used to train chaotic recurrent neural networks (RNNs), outperform gradient methods on certain tasks. However, there is currently no standard software framework for FORCE learning. We present tension , an object-oriented, open-source Python package that implements a TensorFlow / Keras API FORCE. show how rate networks, spiking constrained by biological data can all be trained using shared, easily extensible...
Abstract Temporal lobe epilepsy (TLE) is characterized by recurrent seizures driven synchronous neuronal activity. The dentate gyrus (DG) region of the hippocampal formation highly reorganized in chronic TLE; particular, pathological remodeling “dentate gate” thought to open up conduction pathways for discharges and mesial temporal lobe. However, this pathophysiological framework lacks a mechanistic explanation how macroscale dynamics emerge from alterations DG at microcircuit level. In...