scholarly journals The Input-Output Transformation of the Hippocampal Granule Cells: From Grid Cells to Place Fields

2009 ◽  
Vol 29 (23) ◽  
pp. 7504-7512 ◽  
Author(s):  
L. de Almeida ◽  
M. Idiart ◽  
J. E. Lisman
animal ◽  
2016 ◽  
Vol 10 (2) ◽  
pp. 274-282 ◽  
Author(s):  
M. van der Voort ◽  
J. Van Meensel ◽  
L. Lauwers ◽  
G. Van Huylenbroeck ◽  
J. Charlier

2012 ◽  
Vol 107 (9) ◽  
pp. 2453-2462 ◽  
Author(s):  
Sung-min Park ◽  
Esra Tara ◽  
Kamran Khodakhah

Reciprocal activity between populations of neurons has been widely observed in the brain and is essential for neuronal computation. The different mechanisms by which reciprocal neuronal activity is generated remain to be established. A common motif in neuronal circuits is the presence of afferents that provide excitation to one set of principal neurons and, via interneurons, inhibition to a second set of principal neurons. This circuitry can be the substrate for generation of reciprocal signals. Here we demonstrate that this equivalent circuit in the cerebellar cortex enables the reciprocal firing rates of Purkinje cells to be efficiently generated from a common set of mossy fiber inputs. The activity of a mossy fiber is relayed to Purkinje cells positioned immediately above it by excitatory granule cells. The firing rates of these Purkinje cells increase as a linear function of mossy fiber, and thus granule cell, activity. In addition to exciting Purkinje cells positioned immediately above it, the activity of a mossy fiber is relayed to laterally positioned Purkinje cells by a disynaptic granule cell → molecular layer interneuron pathway. Here we show in acutely prepared cerebellar slices that the input-output relationship of these laterally positioned Purkinje cells is linear and reciprocal to the first set. A similar linear input-output relationship between decreases in Purkinje cell firing and strength of stimulation of laterally positioned granule cells was also observed in vivo. Use of interneurons to generate reciprocal firing rates may be a common mechanism by which the brain generates reciprocal signals.


eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Ádám Magó ◽  
Noémi Kis ◽  
Balázs Lükő ◽  
Judit K Makara

Proper integration of different inputs targeting the dendritic tree of CA3 pyramidal cells (CA3PCs) is critical for associative learning and recall. Dendritic Ca2+ spikes have been proposed to perform associative computations in other PC types by detecting conjunctive activation of different afferent input pathways, initiating afterdepolarization (ADP), and triggering burst firing. Implementation of such operations fundamentally depends on the actual biophysical properties of dendritic Ca2+ spikes; yet little is known about these properties in dendrites of CA3PCs. Using dendritic patch-clamp recordings and two-photon Ca2+ imaging in acute slices from male rats, we report that, unlike CA1PCs, distal apical trunk dendrites of CA3PCs exhibit distinct forms of dendritic Ca2+ spikes. Besides ADP-type global Ca2+ spikes, a majority of dendrites expresses a novel, fast Ca2+ spike type that is initiated locally without bAPs, can recruit additional Na+ currents, and is compartmentalized to the activated dendritic subtree. Occurrence of the different Ca2+ spike types correlates with dendritic structure, indicating morpho-functional heterogeneity among CA3PCs. Importantly, ADPs and dendritically initiated spikes produce opposing somatic output: bursts versus strictly single-action potentials, respectively. The uncovered variability of dendritic Ca2+ spikes may underlie heterogeneous input-output transformation and bursting properties of CA3PCs, and might specifically contribute to key associative and non-associative computations performed by the CA3 network.


2020 ◽  
Author(s):  
Yanbo Lian ◽  
Anthony N. Burkitt

AbstractExperimental studies of grid cells in the Medial Entorhinal Cortex (MEC) have shown that they are selective to an array of spatial locations in the environment that form a hexagonal grid. However, in a small environment, place cells in the hippocampus are only selective to a single-location of the environment while granule cells in the dentate gyrus of the hippocampus have multiple discrete firing locations, but lack spatial periodicity. Given the anatomical connection from MEC to the hippocampus, previous feedforward models of grid-to-place have been proposed. Here, we propose a unified learning model that can describe the spatial tuning properties of both hippocampal place cells and dentate gyrus granule cells based on non-negative sparse coding. Sparse coding plays an important role in many cortical areas and is proposed here to have a key role in the navigational system of the brain in the hippocampus. Our results show that the hexagonal patterns of grid cells with various orientations, grid spacings and phases are necessary for model cells to learn a single spatial field that efficiently tile the entire spatial environment. However, if there is a lack of diversity in any grid parameters or a lack of cells in the network, this will lead to the emergence of place cells that have multiple firing locations. More surprisingly, the model shows that place cells can also emerge even when non-negative sparse coding is used with weakly-tuned MEC cells, instead of MEC grid cells, as the input to place cells. This work suggests that sparse coding may be one of the underlying organizing principles for the navigational system of the brain.


1986 ◽  
Vol 56 (3) ◽  
pp. 732-746 ◽  
Author(s):  
T. Sutula ◽  
O. Steward

Synaptic transmission was studied during the development of kindling in the pathway from entorhinal cortex (EC) to dentate gyrus (DG) of unrestrained unanesthetized rats using chronic neurophysiological techniques. Extracellular field potentials were recorded from the DG in response to activation of the perforant pathway with 0.1-ms constant current square-wave pulses. The evoked field potentials consisted of a population EPSP (a reflection of excitatory synaptic activation) and a population spike (a measure of synchronous postsynaptic discharge of granule cells). Synaptic efficacy was quantitated in this pathway by measurement of the population EPSP slope and population spike amplitude across a range of stimulus intensities from threshold to maximal evoked response. Input-output relationships for population EPSP and population spike were determined at regular intervals during the course of kindling, corresponding to the stages of evoked behavioral seizures. Increases in the population EPSP and population spike were observed after a single kindling stimulus that evoked afterdischarge (AD) when behavioral seizures were minimal. Evaluation of the input-output relationships for the group of kindled animals at the various stages of evoked behavioral seizure activity revealed that increases in the population EPSP continued to slowly evolve with repeated stimulations but that increases in the population spike were maximal after one or at most a few stimulations that evoked AD. The increases in both population EPSP and population spike persisted for the duration of the recording, i.e., through induction of generalized motor convulsions. To evaluate the translation of synaptic activation into cell discharge during kindling, we made use of the population spike/population EPSP ratio across a range of stimulus intensities. The spike/EPSP ratios revealed a dissociation of the population spike and population EPSP early in the course of kindling during class 1 seizures. Specifically, after induction of an AD, an extracellular population EPSP of a given size evoked a larger population spike than an EPSP of comparable size before the induction of an AD by kindling stimulation. The development of generalized motor convulsions (class 5 seizures) was associated with a reduction in the spike/EPSP ratio. The mechanism of this reduction in spike/EPSP ratio is uncertain, but since synaptic activation (as reflected by population EPSP) did not decline during class 5 seizures, the reduction in the spike/EPSP ratio could be consistent with increased inhibition after generalized motor convulsions, or could reflect a decrease in granule cell excitability.(ABSTRACT TRUNCATED AT 400 WORDS)


2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Claudio Elgueta ◽  
Marlene Bartos

AbstractFast-spiking parvalbumin-expressing interneurons (PVIs) and granule cells (GCs) of the dentate gyrus receive layer-specific dendritic inhibition. Its impact on PVI and GC excitability is, however, unknown. By applying whole-cell recordings, GABA uncaging and single-cell-modeling, we show that proximal dendritic inhibition in PVIs is less efficient in lowering perforant path-mediated subthreshold depolarization than distal inhibition but both are highly efficient in silencing PVIs. These inhibitory effects can be explained by proximal shunting and distal strong hyperpolarizing inhibition. In contrast, GC proximal but not distal inhibition is the primary regulator of their excitability and recruitment. In GCs inhibition is hyperpolarizing along the entire somato-dendritic axis with similar strength. Thus, dendritic inhibition differentially controls input-output transformations in PVIs and GCs. Dendritic inhibition in PVIs is suited to balance PVI discharges in dependence on global network activity thereby providing strong and tuned perisomatic inhibition that contributes to the sparse representation of information in GC assemblies.


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