The PhD in Computation and Neural Systems at Caltech bridges the fields of neuroscience, machine learning, and computational modeling. Students explore groundbreaking research on neural networks, brain-computer interfaces, and cognitive processes.
Deep Learning Models for Visual Perception in Neural Systems
Neuro-Inspired Algorithms for AI and Machine Learning
Mapping Cortical Networks for Sensory Processing
Cognitive Neuroscience: Models of Attention and Memory
Computational Modeling of Neural Circuit Dynamics
Neural Coding and Information Processing in the Brain
Development of Brain-Computer Interfaces for Communication
Robust Control Systems Inspired by Biological Neural Networks
Mechanisms of Learning and Plasticity in Neural Networks
Neural Representations of Decision-Making and Reward Processing
Artificial General Intelligence: Bridging Neuroscience and AI
Modeling Human Emotion and Cognition with Neural Networks
Brainwave-Based Control of Neuroprosthetic Devices
Neurofeedback Systems for Mental Health Treatment
Simulation of Neural Pathways in Brain Disorders
Collexa assists PhD students in Computation and Neural Systems with research methodologies, neural network design, and dissertation writing to generate impactful research at the intersection of neuroscience and AI.
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