sPyNNaker neural_modelling 7.2.2
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weight_multiplicative_impl.h
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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
19#ifndef _WEIGHT_MULTIPLICATIVE_IMPL_H_
20#define _WEIGHT_MULTIPLICATIVE_IMPL_H_
21
22// Include generic plasticity maths functions
25#include <neuron/synapse_row.h>
26
27#include <debug.h>
28
29//---------------------------------------
30// Structures
31//---------------------------------------
33typedef struct {
34 accum min_weight;
35 accum max_weight;
36
37 accum a2_plus;
38 accum a2_minus;
40
42typedef struct {
43 accum weight;
44
46 uint32_t weight_shift;
48 const plasticity_weight_region_data_t *weight_region;
50
51#include "weight_one_term.h"
52
53//---------------------------------------
54// Weight dependance functions
55//---------------------------------------
63 weight_t weight, index_t synapse_type) {
65 extern uint32_t *weight_shift;
66
67 accum s1615_weight = kbits(weight << weight_shift[synapse_type]);
68 return (weight_state_t) {
69 .weight = s1615_weight,
70 .weight_shift = weight_shift[synapse_type],
71 .weight_region = &plasticity_weight_region_data[synapse_type]
72 };
73}
74
75//---------------------------------------
81 weight_state_t state, int32_t depression) {
82 // Calculate scale
83 accum scale = (state.weight - state.weight_region->min_weight) *
85
86 // Multiply scale by depression and subtract
87 state.weight -= mul_accum_fixed(scale, depression);
88 return state;
89}
90//---------------------------------------
96 weight_state_t state, int32_t potentiation) {
97 // Calculate scale
98 accum scale = (state.weight_region->max_weight - state.weight) *
100
101 // Multiply scale by potentiation and add
102 // **NOTE** using standard STDP fixed-point format handles format conversion
103 state.weight += mul_accum_fixed(scale, potentiation);
104 return state;
105}
106//---------------------------------------
112static inline weight_t weight_get_final(weight_state_t state) {
113 return (weight_t) (bitsk(state.weight) >> state.weight_shift);
114}
115
116static inline void weight_decay(weight_state_t *state, int32_t decay) {
117 state->weight = mul_accum_fixed(state->weight, decay);
118}
119
120static inline accum weight_get_update(weight_state_t state) {
121 return state.weight;
122}
123
124#endif // _WEIGHT_MULTIPLICATIVE_IMPL_H_
uint32_t index_t
#define decay(x, d)
This is a type-generic decay "function".
Definition decay.h:118
Support functions for STDP.
Basic definitions for STDP.
static accum mul_accum_fixed(accum a, int32_t stdp_fixed)
Multiply an accum by an STDP fixed point and return an accum.
implementation for handling the processing of synapse rows.
uint32_t * weight_shift
Plasticity multiply shift array, in DTCM.
plasticity_weight_region_data_t * plasticity_weight_region_data
Global plasticity parameter data.
const plasticity_weight_region_data_t * weight_region
Reference to the configuration data.
static weight_state_t weight_one_term_apply_potentiation(weight_state_t state, int32_t potentiation)
Apply the potentiation rule to the weight state.
accum a2_plus
Scaling factor for weight delta on potentiation.
static weight_state_t weight_get_initial(weight_t weight, index_t synapse_type)
Gets the initial weight state.
accum a2_minus
Scaling factor for weight delta on depression.
static weight_state_t weight_one_term_apply_depression(weight_state_t state, int32_t depression)
Apply the depression rule to the weight state.
static weight_t weight_get_final(weight_state_t state)
Gets the final weight.
accum weight
The starting weight.
uint32_t weight_shift
Weight shift to S1615 version.
The current state data for the rule.
API for single-term weight dependence rules.