Acetylcholine and Learning in a Cortical Associative Memory

1993 ◽  
Vol 5 (1) ◽  
pp. 32-44 ◽  
Author(s):  
Michael E. Hasselmo

Implementing associative memory function in biologically realistic networks raises difficulties not dealt with in previous associative memory models. In particular, during learning of overlapping input patterns, recall of previously stored patterns can interfere with the learning of new patterns. Most associative memory models avoid this difficulty by ignoring the effect of previously modified connections during learning, thereby clamping activity to the patterns to be learned. Here I propose that the effects of acetylcholine in cortical structures may provide a neuropsychological mechanism for this clamping. Recent brain slice experiments have shown that acetylcholine selectively suppresses excitatory intrinsic fiber synaptic transmission within the olfactory cortex, while leaving excitatory afferent input unaffected. In a computational model of olfactory cortex, this selective suppression, applied during learning, prevents interference from previously stored patterns during the learning of new patterns. Analysis of the model shows that the amount of suppression necessary to prevent interference depends on cortical parameters such as inhibition and the threshold of synaptic modification, as well as input parameters such as the amount of overlap between the patterns being stored.

1994 ◽  
Vol 72 (2) ◽  
pp. 659-677 ◽  
Author(s):  
E. Barkai ◽  
R. E. Bergman ◽  
G. Horwitz ◽  
M. E. Hasselmo

1. Associative memory function was analyzed in a realistic biophysical simulation of rat piriform (olfactory) cortex containing 240 pyramidal cells and 58 each of two types of inhibitory interneurons. Pyramidal cell simulations incorporated six different intrinsic currents and three different synaptic currents. We investigated the hypothesis that acetylcholine sets the appropriate dynamics for learning within the network, whereas removal of cholinergic modulation sets the appropriate dynamics for recall. The associative memory function of the network was tested during recall after simulation of the cholinergic suppression of intrinsic fiber synaptic transmission and the cholinergic suppression of neuronal adaptation during learning. 2. Hebbian modification of excitatory synaptic connections between pyramidal cells during learning of patterns of afferent activity allowed the model to show the basic associative memory property of completion during recall in response to degraded versions of those patterns, as evaluated by a performance measure based on normalized dot products. 3. During learning of multiple overlapping patterns of afferent activity, recall of previously learned patterns interfered with the learning of new patterns. As more patterns were stored this interference could lead to the exponential growth of a large number of excitatory synaptic connections within the network. This runaway synaptic modification during learning led to excessive excitatory activity during recall, preventing the accurate recall of individual patterns. 4. Runaway synaptic modification of excitatory intrinsic connections could be prevented by selective suppression of synaptic transmission at these synapses during learning. This allowed effective recall of single learned afferent patterns in response to degraded versions of those patterns, without interference from other learned patterns. 5. During learning, cholinergic suppression of neuronal adaptation enhanced the activity of cortical pyramidal cells in response to afferent input, compensating for decreased activity due to suppression of intrinsic fiber synaptic transmission. This modulation of adaptation led to more rapid learning of afferent input patterns, as demonstrated by higher values of the performance measure. 6. During recall, when suppression of excitatory intrinsic synaptic transmission was removed, continued cholinergic suppression of neuronal adaptation led to the spread of excessive activity. More stable activity patterns during recall could be obtained when the cholinergic suppression of neuronal adaptation was removed at the same time as the cholinergic suppression of synaptic transmission. 7. A realistic biophysical simulation of the effects of acetylcholine on synaptic transmission and neuronal adaptation in the piriform cortex shows that these effects act together to set the appropriate dynamics for learning, whereas removal of both effects sets the appropriate dynamics for recall.


1993 ◽  
pp. 273-280 ◽  
Author(s):  
Ross E. Bergman ◽  
Michael Vanier ◽  
Gregory Horwitz ◽  
James M. Bower ◽  
Michael E. Hasselmo

1992 ◽  
Vol 67 (5) ◽  
pp. 1230-1246 ◽  
Author(s):  
M. E. Hasselmo ◽  
B. P. Anderson ◽  
J. M. Bower

1. The effect of cholinergic modulation on associative memory function was studied in a computational model based on the physiology and anatomic structure of piriform cortex. Both the cholinergic suppression of intrinsic fiber synaptic transmission and the cholinergic changes in postsynaptic excitability described in the companion paper were examined. 2. Distributed input patterns representing odors were stored in the model with the use of a synaptic modification rule dependent on pre- and postsynaptic activity (i.e., Hebbian). Associative recall of these patterns was tested by presenting the model with degraded versions of the learned patterns and testing whether these degraded patterns evoked the same network response as the full learned input pattern. Storage was evaluated with the use of a performance measure designed to reflect how well degraded input patterns could be recognized as a particular learned input pattern. 3. When memory function was evaluated with a selective cholinergic suppression of intrinsic fiber synaptic transmission during learning, associative memory performance was greatly enhanced. Cholinergic suppression during learning prevents previously stored patterns from interfering with the storage of new patterns. 4. When memory function was evaluated with a cholinergic mediated enhancement in cell excitability during learning, the speed of learning increased, but so did the decay in performance due to interference during learning. 5. When suppression of intrinsic fiber synaptic transmission was coupled with an increase in cell excitability, the best memory performance was obtained. 6. These results provide a possible theoretical framework for linking the neuropharmacological effects of acetylcholine to behavioral evidence for a role of acetylcholine in memory function. This could help describe how memory deficits might arise from cholinergic dysfunction in diseases such as Alzheimer's dementia.


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