Free recall and recognition in a network model of the hippocampus: simulating effects of scopolamine on human memory function

  title={Free recall and recognition in a network model of the hippocampus: simulating effects of scopolamine on human memory function},
  author={Michael E. Hasselmo and B. Wyble},
  journal={Behavioural Brain Research},
A Mismatch-Based Model for Memory Reconsolidation and Extinction in Attractor Networks
A neural network model is built in which either simple retrieval, reconsolidation or extinction of a stored attractor can occur upon contextual reexposure, depending on the similarity between the representations of the original learning and reex exposure sessions.
Intrinsic mechanisms stabilize encoding and retrieval circuits differentially in a hippocampal network model
A biologically realistic computational model of the hippocampus was developed and demonstrated that short‐term plasticity is a critical property of the network that enhances its robustness and suggested that the low and high cholinergic states can each produce runaway excitation through unique mechanisms and different pathologies.
Storage, recall, and novelty detection of sequences by the hippocampus: Elaborating on the SOCRATIC model to account for normal and aberrant effects of dopamine
A model that describes how the dentate and CA3 hippocampal regions could store and recall memory sequences in context and the issue of how dopamine hyperfunction or NMDA hypofunction, abnormalities that may underlie schizophrenia, might lead to the symptoms of the disease are considered.
Neural Network Model of Memory Retrieval
A model for memory retrieval based on a Hopfield neural network where transition between items are determined by similarities in their long-term memory representations, showing that items having larger number of neurons in their representation are statistically easier to recall and reveals possible bottlenecks in the ability of retrieving memories.
Integrating incremental learning and episodic memory models of the hippocampal region.
The model describes how a familiarity signal may arise from parahippocampal cortices, giving a novel explanation for the finding that the neural response to a stimulus in these regions decreases with increasing stimulus familiarity.


Acetylcholine and Learning in a Cortical Associative Memory
It is proposed that the effects of acetylcholine in cortical structures may provide a neuropsychological mechanism for clamping activity to the patterns to be learned, which prevents interference from previously stored patterns during the learning of new patterns.
Recall and Recognition in an Attractor Neural Network Model of Memory Retrieval
It is shown that an ANN Hopfield-based network can qualitatively account for a wide range of experimental psychological data pertaining to these two main aspects of memory retrieval.
Encoding and retrieval of episodic memories: Role of cholinergic and GABAergic modulation in the hippocampus
This research focuses on linking episodic memory function to the cellular physiology of hippocampal neurons, with a particular emphasis on modulatory effects at cholinergic and γ‐aminobutyric acid B receptors, and a network simulation which can replicate the selective encoding impairment produced by scopolamine in human subjects.
Laminar selectivity of the cholinergic suppression of synaptic transmission in rat hippocampal region CA1: computational modeling and brain slice physiology
  • ME Hasselmo, E. Schnell
  • Biology
    The Journal of neuroscience : the official journal of the Society for Neuroscience
  • 1994
Data support the hypothesis that synaptic modification of the Schaffer collaterals may store associations between activity in region CA3 and the afferent input to region CA1 from the entorhinal cortex.
Cholinergic modulation of cortical associative memory function.
A possible theoretical framework for linking the neuropharmacological effects of acetylcholine to behavioral evidence for a role of acetolcholine in memory function is provided, which could help describe how memory deficits might arise from cholinergic dysfunction in diseases such as Alzheimer's dementia.
Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.
The account presented here suggests that memories are first stored via synaptic changes in the hippocampal system, that these changes support reinstatement of recent memories in the neocortex, that neocortical synapses change a little on each reinstatement, and that remote memory is based on accumulated neocorticals changes.
Hippocampal synaptic enhancement and information storage within a distributed memory system
Simulation studies of the CA3 hippocampal subfield modelled as an attractor neural network
Acetylcholine and memory
Dynamics of learning and recall at excitatory recurrent synapses and cholinergic modulation in rat hippocampal region CA3
The activation of feedback inhibition is shown to prevent unbounded activity, allowing stable activity states during recall and learning and to determine the extent to which activity depends upon new features of the afferent input versus components of previously stored representations.