sPyNNaker neural_modelling 7.1.1
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threshold_type.h
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1/*
2 * Copyright (c) 2015 The University of Manchester
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * https://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
21
22#ifndef _THRESHOLD_TYPE_H_
23#define _THRESHOLD_TYPE_H_
24
26
27// Forward declaration of the threshold params type
30
31// Forward declaration of the threshold pointer type
32struct threshold_type_t;
34
40 uint32_t n_steps_per_timestep);
41
47
53 state_t value, threshold_type_t *threshold_type);
54
55#endif // _THRESHOLD_TYPE_H_
Data type definitions for SpiNNaker Neuron-modelling.
REAL state_t
The type of a state variable.
static uint n_steps_per_timestep
The number of steps to run per timestep.
static stdp_params params
Configuration parameters.
static void threshold_type_initialise(threshold_type_t *state, threshold_type_params_t *params, uint32_t n_steps_per_timestep)
initialise the state from the parameters
static void threshold_type_save_state(threshold_type_t *state, threshold_type_params_t *params)
save parameters and state back to SDRAM for reading by host and recovery on restart
static bool threshold_type_is_above_threshold(state_t value, threshold_type_t *threshold_type)
Determines if the value given is above the threshold value.
Stochastic threshold parameters.
Stochastic threshold configuration.