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Biology
Neurobiology/Neuroscience
Computational Neuroscience
1. Introduction to Computational Neuroscience
2. Foundations in Neuroscience
3. Mathematical and Physical Foundations
4. Modeling Single Neurons
5. Synaptic Plasticity and Learning
6. Neural Coding
7. Modeling Neural Networks
8. Models of Learning and Memory
9. Models of Sensory and Motor Systems
10. Models of Higher Cognitive Functions
11. Tools and Techniques
Models of Sensory and Motor Systems
The Visual System
Modeling the Retina
Photoreceptors
Rod and cone responses
Light adaptation
Phototransduction
Retinal ganglion cells
ON and OFF cells
Center-surround organization
Temporal dynamics
Retinal processing
Edge detection
Motion detection
Color processing
Receptive Fields in V1
Simple cells
Orientation selectivity
Spatial frequency tuning
Linear summation
Complex cells
Position invariance
Nonlinear summation
Direction selectivity
Orientation selectivity
Orientation maps
Pinwheel structures
Development models
Models of Object Recognition
Hierarchical processing
Feature hierarchies
Invariant representations
Convolutional neural networks
Biological inspiration
Deep learning models
Attention mechanisms
Spatial attention
Feature-based attention
The Auditory System
Cochlear Processing
Basilar membrane mechanics
Hair cell transduction
Frequency decomposition
Sound Localization
Interaural time differences
Jeffress model
Coincidence detection
Interaural level differences
Lateral superior olive
Inhibitory interactions
Spectral cues
Head-related transfer functions
Pinna filtering
Speech Processing
Temporal coding
Envelope following
Fine structure coding
Phoneme recognition
Categorical perception
Motor theory
Pitch Perception
Place theory
Temporal theory
Autocorrelation models
The Somatosensory System
Cortical Maps
Somatotopy
Body map organization
Magnification factors
Barrel cortex
Whisker maps
Columnar organization
Plasticity of sensory maps
Activity-dependent plasticity
Cortical reorganization
Critical periods
Touch and Texture
Mechanoreceptor responses
Texture discrimination
Haptic processing
The Motor System
Motor Cortex
Movement planning
Motor preparation
Movement parameters
Population coding
Population vector algorithm
Optimal linear estimation
Corticospinal tract
Direct pathway
Motor unit recruitment
Cerebellum
Motor learning
Error-based learning
Adaptive control
Error correction
Forward models
Inverse models
Purkinje cell plasticity
Long-term depression
Climbing fiber signals
Basal Ganglia
Action selection
Go/No-go pathways
Competition mechanisms
Reinforcement learning
Dopamine signals
Striatal plasticity
Movement disorders
Parkinson's disease models
Huntington's disease models
Spinal Circuits
Central pattern generators
Locomotion circuits
Rhythmic patterns
Reflex circuits
Stretch reflex
Withdrawal reflex
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8. Models of Learning and Memory
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10. Models of Higher Cognitive Functions