The Computational Basis of Neural Circuits
NEUR0680 | Feb 10/12, 2025
Neural Firing Patterns Provide a Code for Information
Information Is Encoded by Neural Activity
Information Is Encoded by Neural Activity
Information Is Encoded by Neural Activity
Information Is Encoded by Neural Activity
- Intracellular recordings
- Extracellular recordings
- Lesions or ablations
- Scalp recordings (EEG)
- Magnetoencephalography (MEG)
- Positron Emission Tomography (PET)
- Optical imaging
- MR imaging (fMRI)
- Perturbations of activity
- Electrical stimulation (including Deep Brain Stimulation)
- Optogenetic stimulation
- Chemogenetic modulation
- Transcranial magnetic stimulation (TMS)
Essential Methodologies
Information Is Encoded by Neural Activity
Essential Methodologies
Information Is Encoded by Neural Activity
Essential Methodologies
Information Is Encoded by Neural Activity
"Large scale" recordings
Information Is Encoded by Neural Activity
"Large scale" recordings
Information Can Be Decoded From Neural Activity
- Muscle length
- Light level (or contrast)
- Sound intensity
- Chemical concentration
- Temperature
- Joint angle
- Spatial location/orientation
- Movement
Hippocampal Spatial Cognitive Maps Can Be Decoded to Infer Location
O'Keefe et al (1970s)
Hippocampal Spatial Cognitive Maps Can Be Decoded to Infer Location
O'Keefe et al (1970s)
Hippocampal Spatial Cognitive Maps Can Be Decoded to Infer Location
Can also be detected during "replay"
Diba and Buzsaki (2007)
Neural Circuit Motifs Provide a Basic Logic for Information Processing
McCulloch-Pitts
A logical calculus of the ideas immanent in nervous activity (1943)
Neural Network "Motifs"
Visual Processing and Object Recognition Depend on a Hierarchy of Feed-Forward Representations
Visual Processing and Object Recognition Depend on a Hierarchy of Feed-Forward Representations
Visual Processing and Object Recognition Depend on a Hierarchy of Feed-Forward Representations
Neural Network "Motifs"
Recurrent Circuitry Underlies Sustained Activity and Integration
Recurrent Circuitry Underlies Sustained Activity and Integration
Learning and Memory Depend on Synaptic Plasticity
The cerebellum
The cerebellum
Disorders of the cerebellum
dysmetria
cerebellar ataxia
dysdiodochokinesia
Disorders of the cerebellum
Inactivation of the cerebellum
Turn off "output"
(deep nuclei) by cooling
Diverse Neuronal Representations in the Cerebellum Provide a Basis for Learning
200M
50B
15M
Dominant Patterns of Synaptic Input Can Be Identified by Hebbian Plasticity
Synaptic Plasticity in the Cerebellum Plays a Key Role in Motor Learning
Simple and complex spikes recorded intracellularly from a cerebellar Purkinje cell.
Simple spikes are produced by mossy-fiber input (1)
Complex spikes are evoked by climbing-fiber synapses (2)
Martinez, Crill, and Kennedy (1971), in Kandel et al. Principles of Neural Science.
Synaptic Plasticity in the Cerebellum Plays a Key Role in Motor Learning
Synaptic Plasticity in the Cerebellum Plays a Key Role in Motor Learning
