sPyNNaker neural_modelling 7.2.2
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Stochastic neuron implementation with exponential probability. More...
#include <neuron/implementations/neuron_impl.h>
#include <spin1_api.h>
#include <debug.h>
#include <random.h>
#include <stdfix-full-iso.h>
#include <common/maths-util.h>
#include <neuron/neuron_recording.h>
#include <neuron/current_sources/current_source_impl.h>
#include <neuron/current_sources/current_source.h>
#include "stoc_exp_common.h"
Go to the source code of this file.
Data Structures | |
struct | neuron_params_t |
definition of neuron parameters More... | |
struct | neuron_impl_t |
definition of neuron state More... | |
Macros | |
#define | V_RECORDING_INDEX 0 |
#define | EX_INPUT_INDEX 1 |
#define | IN_INPUT_INDEX 2 |
#define | PROB_INDEX 3 |
#define | N_RECORDED_VARS 4 |
#define | SPIKE_RECORDING_BITFIELD 0 |
#define | N_BITFIELD_VARS 1 |
Functions | |
static bool | neuron_impl_initialise (uint32_t n_neurons) |
static void | neuron_model_initialise (neuron_impl_t *state, neuron_params_t *params) |
static void | neuron_model_save_state (neuron_impl_t *state, neuron_params_t *params) |
static void | neuron_impl_load_neuron_parameters (address_t address, uint32_t next, uint32_t n_neurons, address_t save_initial_state) |
static void | neuron_impl_store_neuron_parameters (address_t address, uint32_t next, uint32_t n_neurons) |
static void | neuron_impl_add_inputs (index_t synapse_type_index, index_t neuron_index, input_t weights_this_timestep) |
static void | do_refrac_update (uint32_t timer_count, uint32_t time, uint32_t neuron_index, neuron_impl_t *neuron) |
static void | do_non_refrac_update (uint32_t timer_count, uint32_t time, uint32_t neuron_index, neuron_impl_t *neuron) |
static void | neuron_impl_do_timestep_update (uint32_t timer_count, uint32_t time, uint32_t n_neurons) |
static void | neuron_impl_print_inputs (uint32_t n_neurons) |
static void | neuron_impl_print_synapse_parameters (uint32_t n_neurons) |
static const char * | neuron_impl_get_synapse_type_char (uint32_t synapse_type) |
Variables | |
static neuron_impl_t * | neuron_array |
Array of neuron states. | |
Stochastic neuron implementation with exponential probability.
Definition in file neuron_impl_stoc_exp_stable.h.
struct neuron_params_t |
definition of neuron parameters
The state parameters of an Izhekevich model neuron.
definition for LIF neuron parameters
Definition at line 47 of file neuron_impl_stoc_exp.h.
Data Fields | ||
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UREAL | tau_ms | The tau value of the neuron. |
UREAL | time_step |
The timestep of the neuron being used. The time step in milliseconds. current timestep in ms |
REAL | bias | The bias value. |
uint32_t | refract_init | The initial refractory timer. |
mars_kiss64_seed_t | random_seed | Random seed to use. |
REAL | v_init | The initial membrane voltage. |
REAL | v_reset | The reset membrane voltage after a spike. |
UREAL | tau | The tau value of the neuron, multiplied by 2^v to get probability. |
UREAL | tau_refract |
The refractory period of the neuron in milliseconds. The refractory period of the neuron, in ms. |
REAL | alpha | The alpha value of the neuron prob = (2^(-2^(alpha x voltage))) |
REAL | V_init | membrane voltage [mV] |
REAL | c_m | membrane capacitance [nF] |
REAL | tau_m | membrane decay time constant |
REAL | I_offset | offset current [nA] |
REAL | V_reset | post-spike reset membrane voltage [mV] |
REAL | T_refract_ms | refractory time of neuron [ms] |
int32_t | refract_timer_init | initial refractory timer value (saved) |
REAL | time_step |
The time step in milliseconds. current timestep in ms |
REAL | A | |
REAL | B | |
REAL | C | |
REAL | D | |
REAL | V | |
REAL | U | |
REAL | next_h | next value of this_h (saved) |
REAL | V_rest | membrane resting voltage [mV] |
struct neuron_impl_t |
definition of neuron state
Definition at line 67 of file neuron_impl_stoc_exp.h.
Data Fields | ||
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UFRACT | tau_recip | The reciprocal of the tau value. |
REAL | bias | The bias value. |
uint32_t | t_refract | The refractory timer countdown value. |
uint32_t | refract_timer | The refractory timer. |
mars_kiss64_seed_t | random_seed | The random state. |
input_t | inputs[2] | The inputs to add in the next timestep. |
REAL | v_membrane | The membrane voltage. |
REAL | v_reset | The reset voltage after a spike. |
UREAL | tau | The tau value of the neuron. |
REAL | alpha | The alpha value of the neuron prob = (2^(-2^(alpha x voltage))) |
#define V_RECORDING_INDEX 0 |
Definition at line 30 of file neuron_impl_stoc_exp_stable.h.
#define EX_INPUT_INDEX 1 |
Definition at line 31 of file neuron_impl_stoc_exp_stable.h.
#define IN_INPUT_INDEX 2 |
Definition at line 32 of file neuron_impl_stoc_exp_stable.h.
#define PROB_INDEX 3 |
Definition at line 33 of file neuron_impl_stoc_exp_stable.h.
#define N_RECORDED_VARS 4 |
Definition at line 34 of file neuron_impl_stoc_exp_stable.h.
#define SPIKE_RECORDING_BITFIELD 0 |
Definition at line 36 of file neuron_impl_stoc_exp_stable.h.
#define N_BITFIELD_VARS 1 |
Definition at line 37 of file neuron_impl_stoc_exp_stable.h.
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Definition at line 106 of file neuron_impl_stoc_exp_stable.h.
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Definition at line 117 of file neuron_impl_stoc_exp_stable.h.
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Definition at line 134 of file neuron_impl_stoc_exp_stable.h.
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Definition at line 140 of file neuron_impl_stoc_exp_stable.h.
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Definition at line 157 of file neuron_impl_stoc_exp_stable.h.
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Definition at line 165 of file neuron_impl_stoc_exp_stable.h.
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Definition at line 175 of file neuron_impl_stoc_exp_stable.h.
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Definition at line 194 of file neuron_impl_stoc_exp_stable.h.
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Definition at line 230 of file neuron_impl_stoc_exp_stable.h.
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Definition at line 248 of file neuron_impl_stoc_exp_stable.h.
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Definition at line 257 of file neuron_impl_stoc_exp_stable.h.
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Definition at line 262 of file neuron_impl_stoc_exp_stable.h.
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Array of neuron states.
Definition at line 104 of file neuron_impl_stoc_exp_stable.h.