sPyNNaker neural_modelling  development
weight_additive_one_term_impl.h
Go to the documentation of this file.
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_ADDITIVE_ONE_TERM_IMPL_H_
20 #define _WEIGHT_ADDITIVE_ONE_TERM_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 //---------------------------------------
33 typedef struct {
34  accum min_weight;
35  accum max_weight;
36 
37  accum a2_plus;
38  accum a2_minus;
40 
42 typedef struct {
43  accum weight;
44 
45  uint32_t weight_shift;
46 
50 
51 #include "weight_one_term.h"
52 
53 //---------------------------------------
54 // STDP weight dependence 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 a2_minus) {
82  state.weight -= mul_accum_fixed(state.weight_region->a2_minus, a2_minus);
83  state.weight = kbits(MAX(bitsk(state.weight), bitsk(state.weight_region->min_weight)));
84  return state;
85 }
86 
87 //---------------------------------------
93  weight_state_t state, int32_t a2_plus) {
94  state.weight += mul_accum_fixed(state.weight_region->a2_plus, a2_plus);
95  state.weight = kbits(MIN(bitsk(state.weight), bitsk(state.weight_region->max_weight)));
96  return state;
97 }
98 
99 //---------------------------------------
105 static inline weight_t weight_get_final(weight_state_t state) {
106  return (weight_t) (bitsk(state.weight) >> state.weight_shift);
107 }
108 
109 static inline void weight_decay(weight_state_t *state, int32_t decay) {
110  state->weight = mul_accum_fixed(state->weight, decay);
111 }
112 
113 static inline accum weight_get_update(weight_state_t state) {
114  return state.weight;
115 }
116 
117 #endif // _WEIGHT_ADDITIVE_ONE_TERM_IMPL_H_
#define decay(x, d)
This is a type-generic decay "function".
Definition: decay.h:118
Support functions for STDP.
#define MIN(X, Y)
Minimum. Evaluates arguments twice.
Definition: maths.h:34
#define MAX(X, Y)
Maximum. Evaluates arguments twice.
Definition: maths.h:39
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.
Definition: stdp_typedefs.h:45
implementation for handling the processing of synapse rows.
static void weight_decay(weight_state_t *state, int32_t decay)
Decay the weight inside the state by multiplication.
static accum weight_get_update(weight_state_t state)
Get the weight inside during update in STDP fixed point format.
uint32_t * weight_shift
Plasticity multiply shift array, in DTCM.
plasticity_weight_region_data_t * plasticity_weight_region_data
Global plasticity parameter data.
static weight_state_t weight_get_initial(weight_t weight, index_t synapse_type)
Gets the initial weight state.
static weight_state_t weight_one_term_apply_depression(weight_state_t state, int32_t a2_minus)
Apply the depression rule to the weight state.
static weight_state_t weight_one_term_apply_potentiation(weight_state_t state, int32_t a2_plus)
Apply the potentiation rule to the weight state.
static weight_t weight_get_final(weight_state_t state)
Gets the final weight.
const plasticity_weight_region_data_t * weight_region
Reference to the configuration data.
accum a2_plus
Scaling factor for weight delta on potentiation.
accum a2_minus
Scaling factor for weight delta on depression.
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.