Coding of object location by heterogeneous neural populations with spatially dependent correlations in weakly electric fish

Haggard, Myriah; Chacron, Maurice J.

doi:10.1371/journal.pcbi.1010938

Cited by 11 publications

(9 citation statements)

References 98 publications

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“…For the experiments in Figs. 8 F and 9 simultaneous extracellular recordings from ELL pyramidal cells were made using Neuropixels probes (Imec Inc.) as done previously 113 – 116 . The probe was angled at approximately 15 deg.…”

Section: Methodsmentioning

confidence: 99%

Fractional order memcapacitive neuromorphic elements reproduce and predict neuronal function

Vazquez-Guerrero,

Tuladhar,

Psychalinos

et al. 2024

Sci Rep

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There is an increasing need to implement neuromorphic systems that are both energetically and computationally efficient. There is also great interest in using electric elements with memory, memelements, that can implement complex neuronal functions intrinsically. A feature not widely incorporated in neuromorphic systems is history-dependent action potential time adaptation which is widely seen in real cells. Previous theoretical work shows that power-law history dependent spike time adaptation, seen in several brain areas and species, can be modeled with fractional order differential equations. Here, we show that fractional order spiking neurons can be implemented using super-capacitors. The super-capacitors have fractional order derivative and memcapacitive properties. We implemented two circuits, a leaky integrate and fire and a Hodgkin–Huxley. Both circuits show power-law spiking time adaptation and optimal coding properties. The spiking dynamics reproduced previously published computer simulations. However, the fractional order Hodgkin–Huxley circuit showed novel dynamics consistent with criticality. We compared the responses of this circuit to recordings from neurons in the weakly-electric fish that have previously been shown to perform fractional order differentiation of their sensory input. The criticality seen in the circuit was confirmed in spontaneous recordings in the live fish. Furthermore, the circuit also predicted long-lasting stimulation that was also corroborated experimentally. Our work shows that fractional order memcapacitors provide intrinsic memory dependence that could allow implementation of computationally efficient neuromorphic devices. Memcapacitors are static elements that consume less energy than the most widely studied memristors, thus allowing the realization of energetically efficient neuromorphic devices.

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Section: Methodsmentioning

confidence: 99%

Fractional order memcapacitive neuromorphic elements reproduce and predict neuronal function

Vazquez-Guerrero,

Tuladhar,

Psychalinos

et al. 2024

Sci Rep

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“…The average baseline firing rate was 20.5 ± 11.1 spks/s (4.1–64.7 spks/s), which is similar to that reported in previous studies. 56 , 104 , 106 , 107 We note that other cell types within the ELL (e.g., interneurons) typically display firing rates higher than those of ELL pyramidal cells. 108 …”

Section: Methodsmentioning

confidence: 79%

“…We classified each cell as being either ON-type or OFF-type based on the spike triggered-average (STA) to the 5-15 Hz carrier waveform as done previously. 107 , 111 , 112 Specifically, ON- and OFF-type cells fire action potentials during carrier up- and downstrokes, respectively (see Figure S1 ). As such, the slope of the STA preceding the action potential will be positive for ON-type cells and negative for OFF-type cells.…”

Section: Methodsmentioning

confidence: 99%

Descending pathways increase sensory neural response heterogeneity to facilitate decoding and behavior

Metzen

Chacron

2023

iScience

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“…The heterogeneity of neuron properties has received much interest lately: for instance, it has been shown that heterogeneity in neural populations can increase coding robustness and efficiency [ 48 ], help optimize information transmission [ 80 ], increase network responsiveness [ 81 ], promote robust learning [ 82 ], help to control the dynamic repertoire of neural populations [ 83 ] and improve the performance on several tasks [ 84 , 85 ]. Here, we show that in particular, the population of excitatory neurons of the barrel cortex shows a large variability in their intrinsic and response properties.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

The tuning of tuning: How adaptation influences single cell information transfer

Zeldenrust,

Calcini,

Yan

et al. 2024

PLoS Comput Biol

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Sensory neurons reconstruct the world from action potentials (spikes) impinging on them. To effectively transfer information about the stimulus to the next processing level, a neuron needs to be able to adapt its working range to the properties of the stimulus. Here, we focus on the intrinsic neural properties that influence information transfer in cortical neurons and how tightly their properties need to be tuned to the stimulus statistics for them to be effective. We start by measuring the intrinsic information encoding properties of putative excitatory and inhibitory neurons in L2/3 of the mouse barrel cortex. Excitatory neurons show high thresholds and strong adaptation, making them fire sparsely and resulting in a strong compression of information, whereas inhibitory neurons that favour fast spiking transfer more information. Next, we turn to computational modelling and ask how two properties influence information transfer: 1) spike-frequency adaptation and 2) the shape of the IV-curve. We find that a subthreshold (but not threshold) adaptation, the ‘h-current’, and a properly tuned leak conductance can increase the information transfer of a neuron, whereas threshold adaptation can increase its working range. Finally, we verify the effect of the IV-curve slope in our experimental recordings and show that excitatory neurons form a more heterogeneous population than inhibitory neurons. These relationships between intrinsic neural features and neural coding that had not been quantified before will aid computational, theoretical and systems neuroscientists in understanding how neuronal populations can alter their coding properties, such as through the impact of neuromodulators. Why the variability of intrinsic properties of excitatory neurons is larger than that of inhibitory ones is an exciting question, for which future research is needed.

show abstract

Coding of object location by heterogeneous neural populations with spatially dependent correlations in weakly electric fish

Cited by 11 publications

References 98 publications

Fractional order memcapacitive neuromorphic elements reproduce and predict neuronal function

Fractional order memcapacitive neuromorphic elements reproduce and predict neuronal function

Descending pathways increase sensory neural response heterogeneity to facilitate decoding and behavior

The tuning of tuning: How adaptation influences single cell information transfer

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