sPyNNaker neural_modelling  7.4.2
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
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8  * https://www.apache.org/licenses/LICENSE-2.0
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13  * See the License for the specific language governing permissions and
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16 
21 
22 #ifndef _THRESHOLD_TYPE_H_
23 #define _THRESHOLD_TYPE_H_
24 
25 #include <common/neuron-typedefs.h>
26 
27 // Forward declaration of the threshold params type
30 
31 // Forward declaration of the threshold pointer type
32 struct threshold_type_t;
33 typedef struct threshold_type_t 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.