1. Differences in the cholinergic suppression of afferent and intrinsic fiber synaptic transmission were studied in the rat piriform cortex. Extracellular and intracellular recording techniques were applied in an in vitro transverse slice preparation. Afferent and intrinsic fiber systems were differentially stimulated with electrodes placed in layer Ia or layer Ib, respectively. Synaptic responses were monitored in the presence of cholinergic agonists and antagonists. 2. Afferent and intrinsic fiber synaptic potentials measured extracellularly showed large differences in sensitivity to micromolar concentrations of the cholinergic agonists carbachol or (+/-)-muscarine, or to acetylcholine combined with neostigmine. Intrinsic fiber synaptic responses in layer Ib were strongly reduced in the presence of cholinergic agonists, whereas afferent fiber synaptic responses in layer Ia were largely unaffected. At a concentration of 100 microM, all three agonists caused a greater than 60% decrease in the height of the intrinsic fiber synaptic potential but less than 15% reduction in the afferent fiber synaptic potential. 3. Intracellular recordings confirmed that the cholinergic agonist carbachol selectively suppresses intrinsic fiber synaptic potentials but not afferent fiber synaptic potentials recorded from the same pyramidal cell. 4. Dose-response curves to carbachol were obtained for both fiber systems using extracellular recording of evoked field potentials. Carbachol suppressed intrinsic fiber synaptic potentials with a coefficient of dissociation (KD) estimated at 2.9 microM and an inhibitory concentration for 50% response estimated at 6.6 microM. 5. Carbachol produced a proportionately greater suppression of the first pulse than the second pulse of a pulse pair. This increase in the level of facilitation accompanying suppression suggests a presynaptic mechanism.(ABSTRACT TRUNCATED AT 250 WORDS)

The effect of activation of cholinergic receptors on long-term potentiation (LTP) in rat piriform cortex pyramidal cells was studied using extracellular and intracellular recordings in brain slice preparations. The functional role of this modulation was studied in a realistic network biophysical stimulation. Repetitive stimuli were applied in two paradigms: one in which the recorded cell was held at its resting potential and one in which synaptic activity was superimposed on a depolarizing pulse strong enough to evoke four action potentials. In the absence of cholinergic modulation, stimulation at 5 Hz induced LTP primarily in the second condition (13.7%, n = 6 out of 9, measured at 10 min after tetanus). When stimuli were applied in the presence of the muscarinic agonist carbachol (20 microM), LTP of greater amplitude was induced in both paradigms (resting: 41.5%, n = 11 out of 16, depolarized: 36%, n = 5 out of 7, measured at 10 min after tetanus). Increases in excitatory postsynaptic potential (EPSP) amplitudes in the presence of carbachol were gradual, starting at the time 5 Hz stimuli were applied and continuing until an action potential was evoked synaptically. In the presence of the NMDA receptor antagonist 2-amino-5-phosphonovaleric acid (APV), LTP could not be induced. The muscarinic antagonist atropine also prevented LTP induction in the presence of carbachol. Cholinergic modulation of synaptic plasticity was examined in a previously developed realistic biophysical network simulation. In simulations, use of a gradual rate of synaptic modification prevented excessive strengthening of synapses, which could cause interference between stored patterns. The effect of excess synaptic strengthening can be avoided by introducing activity dependent depression of synaptic strength. Coactivation of learning and depression rules results in a stable system where no interference occurs, at any rate of learning. Implementing the depression rule only during recall does not improve the network's performance. This implies that reduction in the strength of synaptic connections should occur in the presence of ACh, more than in normal conditions. We propose that two effects of ACh--enhancement of LTP and enhancement of LTD--should act together to increase the stability of the cortical network in the process of acquiring information.

1. In transverse brain slice preparations of rat piriform cortex, we characterized the repetitive firing properties of layer II pyramidal cells in control conditions (n = 78) and during perfusion of the cholinergic agonist carbachol (n = 26), with the ultimate goal of developing realistic computational simulations of the cholinergic modulation of the input/output function of these neurons. The response of neurons to prolonged (1 s) intracellular current injections was examined at a full range of current injection amplitudes, providing three-dimensional plots of firing frequency versus current amplitude versus time. 2. All neurons showed adaptation in response to intracellular current injection, with repetitive generation of action potentials at frequencies that were highest at the onset of the pulse and that decreased considerably thereafter. Substantial differences were observed between cells with regard to their rates of adaptation and the maximal number of action potentials they could generate during the current pulse. 3. The adaptation characteristics of each neuron were quantified by plotting the number of action potentials generated in 1 s as a function of the normalized current injection amplitude and measuring the area beneath this plot of the number of spikes versus current injection amplitude (S-I plot). This value was termed S-I value and allowed neurons to be plotted on a continuum including neurons showing strong adaptation (S-I value < 8.0) and neurons showing weak adaptation (S-I value > 8.0). The group showing weak adaptation contained 36% of the cells in control solution and 93.8% of the cells in 20 microM carbachol. 4. Neurons showing strong adaptation did not differ significantly from neurons showing weak adaptation in control conditions in measurements of resting potential, input resistance, threshold, and spike amplitude. Only a small difference was found in frequencies of firing measured soon after pulse onset (after 100 ms). This implies that differences in S-I values are primarily due to different rates of adaptation in later parts of the response. 5. Perfusion with solution containing the cholinergic agonist carbachol (2-100 microM) or 0 Ca2+ and 200 microM cadmium resulted in a substantial increase in the S-I values of neurons showing strong adaptation but had only a small effect on their initial firing rates. The effect on weakly adapting cells was smaller. In the presence of 20 microM carbachol, neurons showed a distribution shifted predominantly toward weak adaptation (n = 26).(ABSTRACT TRUNCATED AT 400 WORDS)

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.

1. The effect of cholinergic modulation on cortical oscillatory dynamics was studied in a computational model of the piriform (olfactory) cortex. The model included the cholinergic suppression of neuronal adaptation, the cholinergic suppression of intrinsic fiber synaptic transmission, the cholinergic enhancement of interneuron activity, and the cholinergic suppression of inhibitory synaptic transmission. 2. Electroencephalographic (EEG) recordings and field potential recordings from the piriform cortex were modeled with a simplified network in which cortical pyramidal cells were represented by excitatory input/output functions with gain parameters dependent on previous activity. The model incorporated distributed excitatory afferent input and excitatory connections between units. In addition, the model contained two sets of inhibitory units mediating inhibition with different time constants and different reversal potentials. This model can match effectively the patterns of cortical EEG and field potentials, showing oscillatory dynamics in both the gamma (30-80 Hz) and theta (3-10 Hz) frequency range. 3. Cholinergic suppression of neuronal adaptation was modeled by reducing the change in gain associated with previous activity. This caused an increased number of oscillations within the network in response to shock stimulation of the lateral olfactory tract, effectively replicating the effect of carbachol on the field potential response in physiological experiments. 4. Cholinergic suppression of intrinsic excitatory synaptic transmission decreased the prominence of gamma oscillations within the network, allowing theta oscillations to predominate. Coupled with the cholinergic suppression of neuronal adaptation, this caused the network to shift from a nonoscillatory state into an oscillatory state of predominant theta oscillations. This replicates the longer term effect of carbachol in experimental preparations on the EEG potential recorded from the cortex in vivo and from brain-slice preparations of the hippocampus in vitro. Analysis of the model suggests that these oscillations depend upon the time constant of neuronal adaptation rather than the time constant of inhibition or the activity of bursting neurons. 5. Cholinergic modulation may be involved in switching the dynamics of this cortical region between those appropriate for learning and those appropriate for recall. During recall, the spread of activity along intrinsic excitatory connections allows associative memory function, whereas neuronal adaptation prevents the spread of activity between different patterns. During learning, the recall of previously stored patterns is prevented by suppression of intrinsic excitatory connections, whereas the response to the new patterns is enhanced by suppression of neuronal adaptation.