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Modulation of the input/output function of rat piriform cortex pyramidal cells
Abstract
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)
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“The spiking response of cortical neurons to sensory input is further enhanced by muscarinic receptors causing a decrease in potassium conductances including resting conductances (Krnjevik et al., 1971; Cole and Nicoll, 1984; Barkai and Hasselmo, 1994; Gulledge et al., 2009) the M current (Madison et al., 1987) and the calcium-dependent potassium current (Madison and Nicoll, 1984; Schwindt et al.,”
From Modes and models of forebrain cholinergic neuromodulation of cognition (2011) · cites this paper as Barkai and Hasselmo, 1994
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González-Maeso, J., Weisstaub, N. V., Zhou, M., Chan, P., Ivic, L., Ang, R., Lira, A., Bradley-Moore, M., Ge, Y., Zhou, Q., et al. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.008 · Cited by 925
Neuromodulation: acetylcholine and memory consolidation
Hasselmo, M. E. (1999) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01365-0 · Cited by 809
Self-citationModes and models of forebrain cholinergic neuromodulation of cognition
Hasselmo, M. E., & Sarter, M. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.104 · Cited by 733
“The spiking response of cortical neurons to sensory input is further enhanced by muscarinic receptors causing a decrease in potassium conductances, including resting conductances (Krnjevic et al, 1971; Cole and Nicoll, 1984; Barkai and Hasselmo, 1994; Gulledge et al, 2009), the Cholinergic neuromodulation ME Hasselmo…”
BackgroundInfluentialSelf-citationNeuromodulation and cortical function: modeling the physiological basis of behavior
Hasselmo, M. E. (1995) · Behavioural Brain Research · doi:10.1016/0166-4328(94)00113-t · Cited by 557
Self-citationHasselmo, M. E., & McGaughy, J. (2004) · Progress in Brain Research · doi:10.1016/s0079-6123(03)45015-2 · Cited by 525
“…enhances thalamic afferent input, while muscarinic suppression reduces excitatory recurrent processing in cortex. structures (McCormick and Prince, 1986) as well as the piriform cortex (Tseng and Haberly, 1989; Barkai and Hasselmo, 1994) and hippocampal region CA1 (Madison and Nicoll, 1984).”
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Metadata
- Authors
- Barkai, E., & Hasselmo, M. E.
- Affiliations
- Harvard University (US)
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 1994-08-01
- Volume
- 72
- Issue
- 2
- Pages
- 644-658
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W66960383
- Cited by
- 158
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4 · 2023: 2 · 2022: 3 · 2021: 5 · 2020: 3 · 2019: 4 · 2018: 1 · 2017: 2 · 2016: 5 · 2015: 5 · 2014: 3 · 2013: 10 · 2012: 3
- FWCI
- 2.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Neuroscience of respiration and sleep
- Keywords
- piriform cortex, pyramidal neurons, cholinergic modulation, carbachol, neural adaptation, input-output function, repetitive firing, action potential frequency, current injection, layer II
- MeSH terms
- Acetylcholine, Afferent Pathways, Animals, Association Learning, Cerebral Cortex, Cholinergic Fibers, Electric Stimulation, Female, Membrane Potentials, Nerve Net, Neural Inhibition, Synaptic Transmission, Neurons, Olfactory Pathways, Mental Recall, Neural Networks, Computer, Rats, Sprague-Dawley, Pyramidal Cells, Rats
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