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built binaries, update readme and set pypi
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Saran-nns
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Jan 10, 2021
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from .sorn import Simulator, Trainer | ||
import logging | ||
from .utils import * | ||
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__author__ = "Saranraj Nambusubramaniyan" | ||
__version__ = "0.3.20" | ||
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logging.basicConfig(level=logging.INFO) |
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[Network_Config] | ||
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# Number of neurons in the reservoir | ||
Ne = 200 | ||
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# Number of input units in the reservoir | ||
Nu = 10 | ||
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# Connection/Network type: Sparse or Dense | ||
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network_type_ee = Sparse | ||
network_type_ei = Sparse | ||
network_type_ie = Dense | ||
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# Mean number of incoming and outgoing connections per neuron | ||
lambda_ee = 20 | ||
lambda_ei = 40 | ||
lambda_ie = 100 | ||
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# Hebbian Learning rate | ||
eta_stdp = 0.004 | ||
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# Anti-Hebbian learning rate | ||
eta_inhib = 0.001 | ||
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# Intrinsic plasticity constants | ||
eta_ip = 0.01 | ||
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# Threshold initialization values | ||
te_max = 1.0 | ||
ti_max = 0.5 | ||
ti_min = 0.0 | ||
te_min = 0.0 | ||
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# Mean and standard deviation of target firing rate , h_ip | ||
mu_ip = 0.1 | ||
sigma_ip = 0.0 | ||
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