- Cell Image Analysis Techniques
- Neural dynamics and brain function
- Gene Regulatory Network Analysis
- Advanced Memory and Neural Computing
- Scientific Computing and Data Management
- Neuroscience and Neural Engineering
- Robotics and Automated Systems
- Complex Systems and Dynamics
- Memory and Neural Mechanisms
- Robotic Path Planning Algorithms
- Neuroscience and Neuropharmacology Research
- Bioinformatics and Genomic Networks
- Functional Brain Connectivity Studies
- Zebrafish Biomedical Research Applications
- Power Line Inspection Robots
- Autonomous Vehicle Technology and Safety
- Modular Robots and Swarm Intelligence
- Microbial Metabolic Engineering and Bioproduction
- Healthcare Systems and Public Health
- Advanced Fluorescence Microscopy Techniques
- Metal Extraction and Bioleaching
- Natural Language Processing Techniques
- Tactile and Sensory Interactions
- Mineral Processing and Grinding
- Smart Parking Systems Research
University College London
2022-2025
Tata Consultancy Services (India)
2021
University of Hertfordshire
2015-2021
Biocom
2019
National Metallurgical Laboratory
2016
University of Technology Sydney
2014
Computational models have great potential to accelerate bioscience, bioengineering, and medicine. However, it remains challenging reproduce reuse simulations, in part, because the numerous formats methods for simulating various subsystems scales remain siloed by different software tools. For example, each tool must be executed through a distinct interface. To help investigators find use simulation tools, we developed BioSimulators (https://biosimulators.org), central registry of capabilities...
Data-driven models of neurons and circuits are important for understanding how the properties membrane conductances, synapses, dendrites, anatomical connectivity between generate complex dynamical behaviors brain in health disease. However, inherent complexity these biological processes makes construction reuse biologically detailed challenging. A wide range tools have been developed to aid their simulation, but differences design internal representation act as technical barriers those who...
Data-driven models of neurons and circuits are important for understanding how the properties membrane conductances, synapses, dendrites anatomical connectivity between generate complex dynamical behaviors brain in health disease. However, inherent complexity these biological processes make construction reuse biologically-detailed challenging. A wide range tools have been developed to aid their simulation, but differences design internal representation act as technical barriers those who...
Data-driven models of neurons and circuits are important for understanding how the properties membrane conductances, synapses, dendrites, anatomical connectivity between generate complex dynamical behaviors brain in health disease. However, inherent complexity these biological processes makes construction reuse biologically detailed challenging. A wide range tools have been developed to aid their simulation, but differences design internal representation act as technical barriers those who...
Data-driven models of neurons and circuits are important for understanding how the properties membrane conductances, synapses, dendrites anatomical connectivity between generate complex dynamical behaviors brain in health disease. However, inherent complexity these biological processes make construction reuse biologically detailed challenging. A wide range tools have been developed to aid their simulation, but differences design internal representation act as technical barriers those who...
In recent work, Vogels and collaborators demonstrated the ability of spike-time dependent inhibitory plasticity to stabilise recurrent spiking neural networks by balancing out excitatory input received neurons in network with required amount inhibition [1]. Further, as an application this unsupervised balance, they showed that such a can operate non-attractor associative memory, being able store patterns become indistinguishable from background activity network, but be recalled successfully...
Abstract Data-driven models of neurons and circuits are important for understanding how the properties membrane conductances, synapses, dendrites anatomical connectivity between generate complex dynamical behaviors brain in health disease. However, inherent complexity these biological processes make construction reuse biologically detailed challenging. A wide range tools have been developed to aid their simulation, but differences design internal representation act as technical barriers...
Several homeostatic mechanisms enable the brain to maintain desired levels of neuronal activity. One these, structural plasticity, has been reported restore activity in networks disrupted by peripheral lesions altering their connectivity. While multiple lesion experiments have studied changes neurite morphology that underlie modifications synapses these networks, underlying drive are yet be explained. Evidence suggests modulates and may stimulate neurites selective sprout or retract network...
Head direction cells are thought to be an integral part of the neural navigation system. These track agent's current head irrespective host's location. In doing so, they process a combination inputs: angular velocity and visual inputs major effectors; correctly encode heading. There close fifteen models cell systems found in literature today. Very few these have been implemented for bio-mimetic robots. this paper, we describe implementation system on robot operating (ROS) robotic platform as...
Abstract Several homeostatic mechanisms enable the brain to maintain desired levels of neuronal activity. One these, structural plasticity, has been reported restore activity in networks disrupted by peripheral lesions altering their connectivity. While multiple lesion experiments have studied changes neurite morphology that underlie modifications synapses these networks, underlying drive are yet be explained. Evidence suggests modulates and may stimulate neurites selective sprout or retract...