Skip to main navigation
Skip to search
Skip to main content
The Hebrew University of Jerusalem Home
Approve / Request updates on publications
Home
Profiles
Research units
Research output
Prizes
Search by expertise, name or affiliation
Principles for coding associative memories in a compact neural network
Christian Pritz
, Eyal Itskovits
, Eduard Bokman
, Rotem Ruach
, Vladimir Gritsenko
, Tal Nelken
, Mai Menasherof
, Aharon Azulay
,
Alon Zaslaver
Department of Genetics
Research output
:
Contribution to journal
›
Article
›
peer-review
8
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Principles for coding associative memories in a compact neural network'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Sensory Neurons
100%
Associative Memory
100%
Compact Neural Network
100%
Long-term Memory
50%
Sensory Input
25%
Caenorhabditis Elegans
25%
Neural Network
25%
Worm
25%
Negative Association
25%
Neuroscience
25%
Interneuron
25%
Network Routing
25%
Conditioned Stimulus
25%
Distributed Storage
25%
Coding Principle
25%
Memory Formation
25%
Specific Training
25%
Behavioral Plasticity
25%
Network Plasticity
25%
Integrated Network
25%
Training Experience
25%
Experience Valence
25%
Linear Combination Model
25%
Memory Coding
25%
Collective Activity
25%
Neuroscience
Neural Network
100%
Sensory Neuron
100%
Associative Memory
100%
Long-Term Memory
50%
Neuroscience
25%
Caenorhabditis Elegans
25%
Interneuron
25%
Biochemistry, Genetics and Molecular Biology
Sensory Neuron
100%
Associative Memory
100%
Long Term Memory
50%
Caenorhabditis Elegans
25%
Interneuron
25%
Sensory Stimulation
25%
Psychology
Neural Network
100%
Long-Term Memory
66%
Sensory Input
33%
Neurobiology
33%
Caenorhabditis Elegans
33%