Table_2_Parameter Estimation of Two Spiking Neuron Models With Meta-Heuristic Optimization Algorithms.XLSX by Amr M. AbdelAty (12092696)

“…The improvement in fitness function is between 5 and 8%, which is achieved by using the new algorithms while also being more consistent between independent trials. …”

Comparison between the non-sensory motor and sensory–motor algorithms. by Hiroyuki Ichijo (13891153)

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Optimization of the neurons. by Martina Nicoletti (6900464)

“…<p>In the table, we list the information relative to the optimization procedure for each modelled neuron. The second column reports the optimization algorithm, while in the third, fourth, and fifth columns, we provide information on the type of experimental data, the fitness function, and the reference literature, respectively.…”

Recognition of each neuron’s digital identity. by Yuxiang Wu (748543)

Repair algorithm successfully restores removed dendrites of different neuron types with high, low and intermediate balancing factors. by Moritz Groden (18018276)

Schematics for gmxapi operations. by M. Eric Irrgang (4487278)

gmxapi usage examples. by M. Eric Irrgang (4487278)

Attack and defense behaviors with the sensory–motor algorithm between multiple predators and prey. by Hiroyuki Ichijo (13891153)

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Parselmouth for bioacoustics: automated acoustic analysis in Python by Yannick Jadoul (11498813)

“…Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. …”

Radius of gyration (RG) of the backbone atoms of the protein as a function of time. by L. F. S. Bonet (11502082)

Solvent-accessible surface area (SASA) of the protein as a function of time. by L. F. S. Bonet (11502082)

Neuron tracking and mapping of neuronal ensembles in behaving Hydra. by Thibault Lagache (492571)

In contrast to macaque V1 neurons that have a uniform circular variance distributions, the units of all thresholding algorithms show a distinct peak in their circular variance dist... by Ilias Rentzeperis (10215602)

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Data_Sheet_1_Factorized discriminant analysis for genetic signatures of neuronal phenotypes.pdf by Mu Qiao (183617)

“…The crux of FLDA lies in identifying a linear function of gene expression levels that is highly correlated with one phenotypic feature while minimizing the influence of others. …”

An ensemble artificial neural network to improve neuronal connectivity inference. by Christian Donner (3663007)

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libEnsemble: New capabilities for coordinating dynamic ensembles of calculations by John-Luke Navarro (9024008)

Learning performance. by Lulu Gong (18707874)

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Fig 3 - by Lulu Gong (18707874)

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Fig 1 - by Lulu Gong (18707874)

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A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... by Hassan Mehboob (8960273)