sPyNNaker neural_modelling  development
weight_two_term.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_TWO_TERM_H_
20 #define _WEIGHT_TWO_TERM_H_
21 
22 #include "weight.h"
23 
30  weight_state_t state, int32_t depression_1, int32_t depression_2);
31 
38  weight_state_t state, int32_t potentiation_1, int32_t potentiation_2);
39 
40 #endif // _WEIGHT_TWO_TERM_H_
interface for different weight implementations for the weight half of a STDP rule.
The current state data for the rule.
static weight_state_t weight_two_term_apply_potentiation(weight_state_t state, int32_t potentiation_1, int32_t potentiation_2)
Apply the potentiation rule to the weight state.
static weight_state_t weight_two_term_apply_depression(weight_state_t state, int32_t depression_1, int32_t depression_2)
Apply the depression rule to the weight state.