Box plots of different algorithms on CEC2017 test function. by Tengfei Ma (597633)

Subjects:

Results on solving TSS using different evolutionary and greedy algorithms. by Alexander Andreev (16822333)

Subjects:

Precise spatial delineation of brain cell types in adult mouse brain. by Nuray Sogunmez Erdogan (21533872)

The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

Algorithm pseudocode. by Cheng-jie Chen (22272090)

Subjects:

Algorithm testing. by Ziad M. Ali (12516532)

Subjects:

Convergence of the numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm. by Martin Dodek (20623832)

Subjects:

Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

Subjects:

Capturing pulse-modulated firing using . by Matthew R. Baker (436704)

“…An impulse-response function was fitted to the baselined distribution using a nonlinear least square fitting algorithm using the trust-region-reflective method in the form . …”

Decoding evidence for feature triplets on test tasks. by Sam Hall-McMaster (10343795)

Subjects:

Decoding results. by Sam Hall-McMaster (10343795)

Subjects:

Experimental design. by Sam Hall-McMaster (10343795)

Subjects:

Comparison of cue-locked and feedback-locked decoding. by Sam Hall-McMaster (10343795)

Subjects:

Validation tests of feature decoding during the associative memory paradigm. by Sam Hall-McMaster (10343795)

Subjects:

Validation of the neural decoding pipeline. by Sam Hall-McMaster (10343795)

Subjects:

Decoding evidence for policies on each individual test task. by Sam Hall-McMaster (10343795)

Subjects:

Non-converging numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm. by Martin Dodek (20623832)

Subjects:

CEC2017 test function images and iteration curves of different algorithms. by Tengfei Ma (597633)

Subjects:

<b>Functional excitation-inhibition ratio indicates near-critical oscillations across frequencies</b> by Marina Diachenko (19739092)

“…Mansvelder, Hilgo Bruining, Eco de Geus, Arthur-Ervin Avramiea^$, Klaus Linkenkaer-Hansen^$,*</p><p dir="ltr">*Correspondence: Klaus Linkenkaer-Hansen (klaus.linkenkaer@cncr.vu.nl)</p><p dir="ltr">^$Shared authorship</p><p><br></p><p><br></p><p dir="ltr"><b>Abstract</b></p><p dir="ltr">The concept of excitation/inhibition (E/I) balance plays an important role in understanding brain function in health and disease. We recently introduced an algorithm to determine a functional E/I ratio based on the critical brain dynamics that emerge in neuronal networks balancing between order and disorder. …”

Compare NC versus the number of routers using WOA algorithm with different methods. by Le Huu Binh (18340233)

Subjects: