sPyNNaker neural_modelling 7.2.2
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current_source_noisy.h
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1/*
2 * Copyright (c) 2017 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#ifndef _CURRENT_SOURCE_NOISY_H_
22#define _CURRENT_SOURCE_NOISY_H_
23
24#include <random.h>
25#include <normal.h>
26
27// Structures for different current sources in this impl
28typedef struct noisy_current_source_t {
29 REAL mean;
30 REAL stdev;
31 uint32_t start;
32 uint32_t stop;
33 uint32_t dt;
36
37static noisy_current_source_t **noisy_source;
38
39static bool current_source_noisy_init(uint32_t n_noisy_sources, uint32_t *next) {
40 noisy_source = spin1_malloc(n_noisy_sources * sizeof(uint32_t*));
41 for (uint32_t n_noisy=0; n_noisy < n_noisy_sources; n_noisy++) {
42 noisy_source[n_noisy] = spin1_malloc(sizeof(noisy_current_source_t));
43 if (noisy_source[n_noisy] == NULL) {
44 log_error("Unable to allocate DC source parameters - out of DTCM");
45 return false;
46 }
47 *next += sizeof(noisy_current_source_t) / 4;
48 }
49 return true;
50}
51
52static bool current_source_noisy_load_parameters(
53 address_t cs_address, uint32_t n_noisy_sources, uint32_t *next) {
54 for (uint32_t n_noisy=0; n_noisy < n_noisy_sources; n_noisy++) {
55 spin1_memcpy(noisy_source[n_noisy], &cs_address[*next], sizeof(noisy_current_source_t));
56 *next += sizeof(noisy_current_source_t) / 4;
57 }
58 return true;
59}
60
61static REAL current_source_noisy_get_offset(uint32_t cs_index, uint32_t time) {
62 if ((time >= noisy_source[cs_index]->start) && (time < noisy_source[cs_index]->stop)) {
63 // Pick a normally-distributed value based on the mean and SD provided
64 REAL random_value = norminv_urt(mars_kiss64_seed(noisy_source[cs_index]->seed));
65 REAL noisy_current_offset = noisy_source[cs_index]->mean + (
66 noisy_source[cs_index]->stdev * random_value);
67 return noisy_current_offset;
68 }
69 return ZERO;
70}
71
72#endif // _CURRENT_SOURCE_NOISY_H_
uint32_t * address_t
void log_error(const char *message,...)
accum REAL
Type used for "real" numbers.
Definition maths-util.h:91
#define ZERO
A REAL 0.0.
Definition maths-util.h:123
uint32_t mars_kiss64_seed(mars_kiss64_seed_t seed)
uint32_t mars_kiss64_seed_t[4]
static mars_kiss64_seed_t seed
YUCK copy and pasted RNG to allow inlining and also to avoid horrific executable bloat.
Definition random_util.h:31
void spin1_memcpy(void *dst, void const *src, uint len)