sPyNNaker neural_modelling 7.2.2
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Leaky Integrate and Fire neuron type. More...
#include "neuron_model.h"
Go to the source code of this file.
Data Structures | |
struct | neuron_params_t |
definition of neuron parameters More... | |
struct | neuron_t |
definition for LIF neuron state More... | |
Functions | |
static int32_t | lif_ceil_accum (REAL value) |
Performs a ceil operation on an accum. | |
static void | neuron_model_initialise (neuron_t *state, neuron_params_t *params, uint32_t n_steps_per_timestep) |
static void | neuron_model_save_state (neuron_t *state, neuron_params_t *params) |
static void | lif_neuron_closed_form (neuron_t *neuron, REAL V_prev, input_t input_this_timestep) |
simple Leaky I&F ODE | |
static state_t | neuron_model_state_update (uint16_t num_excitatory_inputs, const input_t *exc_input, uint16_t num_inhibitory_inputs, const input_t *inh_input, input_t external_bias, REAL current_offset, neuron_t *restrict neuron) |
primary function called in timer loop after synaptic updates | |
static void | neuron_model_has_spiked (neuron_t *restrict neuron) |
Indicates that the neuron has spiked. | |
static state_t | neuron_model_get_membrane_voltage (const neuron_t *neuron) |
get the neuron membrane voltage for a given neuron parameter set | |
static void | neuron_model_print_state_variables (const neuron_t *neuron) |
static void | neuron_model_print_parameters (const neuron_t *neuron) |
Leaky Integrate and Fire neuron type.
Definition in file neuron_model_lif_impl.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_t |
definition for LIF neuron state
The state variables of an Izhekevich model neuron.
Definition at line 53 of file neuron_model_if_trunc.h.
Data Fields | ||
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REAL | V_membrane | membrane voltage [mV] |
REAL | R_membrane | membrane resistance [MOhm] |
REAL | I_offset | offset current [nA] |
int32_t | refract_timer | countdown to end of next refractory period [timesteps] |
REAL | V_reset | post-spike reset membrane voltage [mV] |
int32_t | T_refract | refractory time of neuron [timesteps] |
REAL | A | |
REAL | B | |
REAL | C | |
REAL | D | |
REAL | V | |
REAL | U | |
REAL | this_h | current timestep |
REAL | reset_h | timestep to reset to when not just spiked |
REAL | V_rest | membrane resting voltage [mV] |
REAL | exp_TC |
'fixed' computation parameter - time constant multiplier for closed-form solution exp(-(machine time step in ms)/(R * C)) [.] |
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inlinestatic |
Performs a ceil operation on an accum.
[in] | value | The value to ceil |
Definition at line 87 of file neuron_model_lif_impl.h.
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inlinestatic |
Definition at line 97 of file neuron_model_lif_impl.h.
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inlinestatic |
Definition at line 110 of file neuron_model_lif_impl.h.
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inlinestatic |
simple Leaky I&F ODE
[in,out] | neuron | The neuron to update |
[in] | V_prev | previous voltage |
[in] | input_this_timestep | The input to apply |
Definition at line 119 of file neuron_model_lif_impl.h.
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inlinestatic |
primary function called in timer loop after synaptic updates
[in] | num_excitatory_inputs | Number of excitatory receptor types. |
[in] | exc_input | Pointer to array of inputs per receptor type received this timer tick that produce a positive reaction within the neuron in terms of stimulation. |
[in] | num_inhibitory_inputs | Number of inhibitory receptor types. |
[in] | inh_input | Pointer to array of inputs per receptor type received this timer tick that produce a negative reaction within the neuron in terms of stimulation. |
[in] | external_bias | This is the intrinsic plasticity which could be used for ac, noisy input etc etc. (general purpose input) |
[in,out] | neuron | the pointer to a neuron parameter struct which contains all the parameters for a specific neuron |
Definition at line 142 of file neuron_model_lif_impl.h.
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inlinestatic |
Indicates that the neuron has spiked.
[in,out] | neuron | pointer to a neuron parameter struct which contains all the parameters for a specific neuron |
Definition at line 174 of file neuron_model_lif_impl.h.
get the neuron membrane voltage for a given neuron parameter set
[in] | neuron | a pointer to a neuron parameter struct which contains all the parameters for a specific neuron |
Definition at line 187 of file neuron_model_lif_impl.h.
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inlinestatic |
Definition at line 191 of file neuron_model_lif_impl.h.
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inlinestatic |
Definition at line 196 of file neuron_model_lif_impl.h.