Cellular and network mechanisms may generate sparse coding of sequential object encounters in hippocampal-like circuits
Open accessPreprint — published as 10.1523/eneuro.0108-19.2019
Abstract
In mammals, the localization of distinct landmarks is performed by hippocampal neurons that sparsely encode an animal’s location relative to surrounding objects. Similarly, the dorsal lateral pallium (DL) is essential for spatial learning in teleost fish. The DL of weakly electric gymnotiform fish receives sensory inputs from the preglomerular nucleus (PG), which has been hypothesized to encode the temporal sequence of electrosensory or visual landmark/food encounters. Here, we show that DL neurons have a hyperpolarized resting membrane potential combined with a high and dynamic spike threshold that increases following each spike. Current-evoked spikes in DL cells are followed by a strong small-conductance calcium-activated potassium channel (SK) mediated after-hyperpolarizing potential (AHP). Together, these properties prevent high frequency and continuous spiking. The resulting sparseness of discharge and dynamic threshold suggest that DL neurons meet theoretical requirements for generating spatial memory engrams by decoding the landmark/food encounter sequences encoded by PG neurons.
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Fotowat et al. and Trinh et al. found cells in the hippocampal pallium of an electrosensory gymnotiform that exhibit spatial navigation-related activity.
“Additionally, Fotowat et al. [28] and Trinh et al. [204] found cells in the hippocampal pallium of an electrosensory gymnotiform that presumably exhibit spatial navigation-related activity.”
From Spatial Cognition in Teleost Fish: Strategies and Mechanisms (2021) · cites this paper as [204]
Recent neuroanatomical and neurofunctional studies have evidenced sparse input projections and highly recursive intrahippocampal circuits in the presumed teleost fish hippocampal pallium homologue, as well as dynamic changes in subregional hippocampal activity throughout spatial learning, suggesting pattern separation and completion operations resembling those of the mammalian dentate gyrus/CA3网络.
“Interestingly, recent neuroanatomical and neurofunctional studies have evidenced the presence of both sparse input projections and highly recursive intrahippocampal circuits in the presumed teleost fish hippocampal pallium homologue [214,215], as well as dynamic changes in the subregional hippocampal activity throughout the spatial learning process, suggesting pattern separation and completion”
From Spatial Cognition in Teleost Fish: Strategies and Mechanisms (2021) · cites this paper as [204]
Cites
Lüscher, C., & Slesinger, P. A. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2834 · Cited by 617 · see citing works
Space in the brain: How the hippocampal formation supports spatial cognition
Hartley, T., Lever, C., Burgess, N., & O'Keefe, J. (2014) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0510 · Cited by 495 · see citing works
Conservation of Spatial Memory Function in the Pallial Forebrain of Reptiles and Ray-Finned Fishes
Rodrı́guez, F., López, J. C., Vargas, J. P., Gómez, Y., Broglio, C., & Salas, C. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-07-02894.2002 · Cited by 316 · see citing works
Dynamics of excitation and inhibition underlying stimulus selectivity in rat somatosensory cortex
Wilent, W. B., & Contreras, D. (2005) · Nature Neuroscience · doi:10.1038/nn1545 · Cited by 288 · see citing works
Vinepinsky, E., Cohen, L., Perchik, S., Ben-Shahar, O., Donchin, O., & Segev, R. (2020) · Scientific Reports · doi:10.1038/s41598-020-71217-1 · Cited by 87 · see citing works
Fotowat, H., Lee, C., Jun, J. J., & Maler, L. (2019) · eLife · doi:10.7554/elife.44119 · Cited by 69 · see citing works
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Spatial Cognition in Teleost Fish: Strategies and Mechanisms
Rodríguez, F., Quintero, B., Amores, L., Madrid, D., Salas-Peña, C., & Salas, C. (2021) · Animals · doi:10.3390/ani11082271 · Cited by 59 · see citing works
- Authors
- Trinh, A.-T., Clarke, S. E., Harvey-Girard, E., & Maler, L.
- Affiliations
- University of Ottawa (CA)
- Stanford University (US)
- Corresponding author
- Trinh, Anh-Tuan
- Venue
- bioRxiv (Cold Spring Harbor Laboratory)
- Publisher
- openRxiv
- Published
- 2019-03-09
- OpenAlex
- W2921066718
- Cited by
- 6
- References
- 6
- Citations by year
- 2025: 1 · 2022: 2 · 2021: 1 · 2020: 2
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by
- Locations
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- uO Research (University of Ottawa) (submittedVersion, public-domain)
- Funders
- Canadian Institutes of Health Research (153143)
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish biology, ecology, and behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- sparse coding, weakly electric fish, small conductance calcium-activated potassium channels, resting membrane potential
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