sPyNNaker neural_modelling  development
weight_additive_two_term_impl.c
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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
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 
20 
21 //---------------------------------------
22 // Globals
23 //---------------------------------------
26 
28 uint32_t *weight_shift;
29 
32 typedef struct {
33  accum min_weight;
34  accum max_weight;
35  accum a2_plus;
36  accum a2_minus;
37  accum a3_plus;
38  accum a3_minus;
40 
41 //---------------------------------------
42 // Functions
43 //---------------------------------------
45  address_t address, uint32_t n_synapse_types,
46  UNUSED uint32_t *ring_buffer_to_input_buffer_left_shifts) {
47  // Copy plasticity region data from address
48  // **NOTE** this seems somewhat safer than relying on sizeof
50 
51  struct plasticity_weight_region_data_two_term_t *dtcm_copy =
52  plasticity_weight_region_data = spin1_malloc(
53  sizeof(struct plasticity_weight_region_data_two_term_t) *
55  if (dtcm_copy == NULL) {
56  log_error("Could not initialise weight region data");
57  return NULL;
58  }
59 
60  weight_shift = spin1_malloc(sizeof(uint32_t) * n_synapse_types);
61  if (weight_shift == NULL) {
62  log_error("Could not initialise weight region data");
63  return NULL;
64  }
65 
66  for (uint32_t s = 0; s < n_synapse_types; s++, config++) {
67  dtcm_copy[s].min_weight = config->min_weight;
68  dtcm_copy[s].max_weight = config->max_weight;
69  dtcm_copy[s].a2_plus = config->a2_plus;
70  dtcm_copy[s].a2_minus = config->a2_minus;
71  dtcm_copy[s].a3_plus = config->a3_plus;
72  dtcm_copy[s].a3_minus = config->a3_minus;
73 
74  // Copy weight shift
75  weight_shift[s] = ring_buffer_to_input_buffer_left_shifts[s];
76 
77  log_debug("\tSynapse type %u: Min weight:%d, Max weight:%d, A2+:%d, A2-:%d,"
78  " A3+:%d, A3-:%d",
79  s, dtcm_copy[s].min_weight, dtcm_copy[s].max_weight,
80  dtcm_copy[s].a2_plus, dtcm_copy[s].a2_minus,
81  dtcm_copy[s].a3_plus, dtcm_copy[s].a3_minus);
82  }
83 
84  // Return end address of region
85  return (address_t) config;
86 }
static struct local_only_config config
A local copy of the configuration.
Definition: local_only.c:43
static uint32_t n_synapse_types
The number of synapse types.
Definition: neuron.c:51
address_t weight_initialise(address_t address, uint32_t n_synapse_types, uint32_t *ring_buffer_to_input_buffer_left_shifts)
Initialises the weight aspect of an STDP rule.
uint32_t * weight_shift
Plasticity multiply shift array, in DTCM.
plasticity_weight_region_data_t * plasticity_weight_region_data
Global plasticity parameter data.
How the configuration data for additive_two_term is laid out in SDRAM. The layout is an array of thes...
Additive dual-term weight dependence rule.