sPyNNaker neural_modelling  7.4.2
local_only.h
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1 /*
2  * Copyright (c) 2021 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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19 #ifndef __LOCAL_ONLY_H__
20 #define __LOCAL_ONLY_H__
21 
22 #include <common/neuron-typedefs.h>
23 
24 //: Provenance data for local-only processing
29  uint32_t n_spikes_dropped;
34 };
35 
46 bool local_only_initialise(void *local_only_addr, void *local_only_params_addr,
47  uint32_t n_rec_regions_used, uint16_t **ring_buffers);
48 
53 void local_only_clear_input(uint32_t time);
54 
60 
61 #endif
static weight_t * ring_buffers
The ring buffers to be used in the simulation.
Definition: c_main.c:118
static uint32_t time
Simulation time.
void local_only_clear_input(uint32_t time)
Clear the spikes for the last time step.
Definition: local_only.c:218
uint32_t max_input_buffer_size
The maximum size of the spike input queue at any time.
Definition: local_only.h:33
void local_only_store_provenance(struct local_only_provenance *prov)
Store provenance gathered during run.
Definition: local_only.c:234
uint32_t n_spikes_lost_from_input
The number of spikes dropped due to the queue having no space.
Definition: local_only.h:31
bool local_only_initialise(void *local_only_addr, void *local_only_params_addr, uint32_t n_rec_regions_used, uint16_t **ring_buffers)
Set up local-only processing of spikes.
Definition: local_only.c:164
uint32_t n_spikes_dropped
The number of spikes dropped due to running out of time in a time step.
Definition: local_only.h:29
uint32_t max_spikes_received_per_timestep
The maximum number of spikes received in a time step.
Definition: local_only.h:27
Data type definitions for SpiNNaker Neuron-modelling.