fetch_adjacencies Error

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Samuele Tatullo

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Jul 31, 2024, 2:21:49 PM7/31/24

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Hello,

I am new of neuPrint, hence I started from the QueryTutorial. However, whenever I run the following commands I get an error

from neuprint import fetch_adjacencies, NeuronCriteria as NC

# Example: Fetch all downstream connections FROM a set of neurons

neuron_df, conn_df = fetch_adjacencies([387023620, 387364605, 416642425], None)

# Example: Fetch all upstream connections TO a set of neurons

neuron_df, conn_df = fetch_adjacencies(None, [387023620, 387364605, 416642425])

# Example: Fetch all direct connections between a set of upstream neurons and downstream neurons

neuron_df, conn_df = fetch_adjacencies(NC(type='Delta.*'), NC(type='PEN.*'))

The error I get is the following

---------------------------------------------------------------------------

HTTPError Traceback (most recent call last)

File /opt/anaconda3/envs/notebook-6.5.7/lib/python3.11/site-packages/neuprint/client.py:316, in verbose_errors.<locals>.wrapper(*args, **kwargs)

315 try:

--> 316 return f(*args, **kwargs)

317 except RequestException as ex:

318 # If the error response body is non-empty, show that in the traceback, too.

319 # neuprint-http error messages are often helpful -- show them!

File /opt/anaconda3/envs/notebook-6.5.7/lib/python3.11/site-packages/neuprint/client.py:483, in Client._fetch(self, url, json, ispost)

482 r = self.session.get(url, verify=self.verify)

--> 483 r.raise_for_status()

484 return r

File /opt/anaconda3/envs/notebook-6.5.7/lib/python3.11/site-packages/requests/models.py:1024, in Response.raise_for_status(self)

1023 if http_error_msg:

-> 1024 raise HTTPError(http_error_msg, response=self)

HTTPError: 400 Client Error: Bad Request for url: https://neuprint.janelia.org/api/custom/custom

The above exception was the direct cause of the following exception:

HTTPError Traceback (most recent call last)

Cell In[22], line 4

1 from neuprint import fetch_adjacencies, NeuronCriteria as NC

3 # Example: Fetch all downstream connections FROM a set of neurons

----> 4 neuron_df, conn_df = fetch_adjacencies([387023620, 387364605, 416642425], None)

6 # Example: Fetch all upstream connections TO a set of neurons

7 neuron_df, conn_df = fetch_adjacencies(None, [387023620, 387364605, 416642425])

File /opt/anaconda3/envs/notebook-6.5.7/lib/python3.11/site-packages/neuprint/client.py:240, in inject_client.<locals>.wrapper(client, *args, **kwargs)

238 if client is None:

239 client = default_client()

--> 240 return f(*args, **kwargs, client=client)

File /opt/anaconda3/envs/notebook-6.5.7/lib/python3.11/site-packages/neuprint/utils.py:141, in make_args_iterable.<locals>.decorator.<locals>.wrapper(*args, **kwargs)

139 for name in argnames:

140 callargs[name] = make_iterable(callargs[name])

--> 141 return f(**callargs)

File /opt/anaconda3/envs/notebook-6.5.7/lib/python3.11/site-packages/neuprint/queries/neuroncriteria.py:36, in neuroncriteria_args.<locals>.decorator.<locals>.wrapper(*args, **kwargs)

34 for name in argnames:

35 callargs[name] = copy_as_neuroncriteria(callargs[name], callargs.get('client', None))

---> 36 return f(**callargs)

File /opt/anaconda3/envs/notebook-6.5.7/lib/python3.11/site-packages/neuprint/queries/connectivity.py:606, in fetch_adjacencies(sources, targets, rois, min_roi_weight, min_total_weight, include_nonprimary, export_dir, batch_size, properties, client)

604 for start in trange(0, len(missing_bodies), 10_000):

605 batch_bodies = missing_bodies[start:start+10_000]

--> 606 batch_df = _fetch_neurons(NeuronCriteria(bodyId=batch_bodies, label=missing_label))

607 batches.append( batch_df )

609 neurons_df = pd.concat((neurons_df, *batches), ignore_index=True)

File /opt/anaconda3/envs/notebook-6.5.7/lib/python3.11/site-packages/neuprint/queries/connectivity.py:347, in fetch_adjacencies.<locals>._fetch_neurons(criteria)

337 return_props = indent(',\n'.join(return_props), ' '*19)[19:]

339 q = f"""\

340 {criteria.global_with(prefix=12)}

341 MATCH ({matchvar}:{criteria.label})

(...)

345 ORDER BY bodyId

346 """

--> 347 return client.fetch_custom(q)

File /opt/anaconda3/envs/notebook-6.5.7/lib/python3.11/site-packages/neuprint/client.py:543, in Client.fetch_custom(self, cypher, dataset, format)

521 """

522 Query the neuprint server with a custom Cypher query.

523

(...)

540 Either json or DataFrame, depending on ``format``.

541 """

542 url = f"{self.server}/api/custom/custom"

--> 543 return self._fetch_cypher(url, cypher, dataset, format)

File /opt/anaconda3/envs/notebook-6.5.7/lib/python3.11/site-packages/neuprint/client.py:564, in Client._fetch_cypher(self, url, cypher, dataset, format)

561 cypher = indent(dedent(cypher), ' ')

562 logger.debug(f"Performing cypher query against dataset '{dataset}':\n{cypher}")

--> 564 result = self._fetch_json(url,

565 json={"cypher": cypher, "dataset": dataset},

566 ispost=True)

568 if format == 'json':

569 return result

File /opt/anaconda3/envs/notebook-6.5.7/lib/python3.11/site-packages/neuprint/client.py:490, in Client._fetch_json(self, url, json, ispost)

489 def _fetch_json(self, url, json=None, ispost=False):

--> 490 r = self._fetch(url, json=json, ispost=ispost)

491 return ujson.loads(r.content)

File /opt/anaconda3/envs/notebook-6.5.7/lib/python3.11/site-packages/neuprint/client.py:359, in verbose_errors.<locals>.wrapper(*args, **kwargs)

356 # In case this decorator is used twice in a nested call,

357 # mark it as already modified it doesn't get modified twice.

358 new_ex.response_content_appended = True

--> 359 raise new_ex from ex

HTTPError: Error accessing POST https://neuprint.janelia.org/api/custom/custom

Cypher was:

WITH [np.int64(941814787), np.int64(1601771527), np.int64(973959177), np.int64(942522378), np.int64(1106180107), np.int64(1383525390), np.int64(912894991), np.int64(1199712272), np.int64(1128088594), np.int64(1446933525), np.int64(911574041), np.int64(1322133531), np.int64(725951521), np.int64(1167965225), np.int64(1043825714), np.int64(1260828727), np.int64(1075499064), np.int64(1198680122), np.int64(1136865339), np.int64(1289700410), np.int64(880526398), np.int64(1660776511), np.int64(1168249921), np.int64(571140165), np.int64(1292847181), np.int64(5812983887), np.int64(1410450511), np.int64(5901208656), np.int64(1322142804), np.int64(1447576662), np.int64(1291444314), np.int64(911911004), np.int64(1537634396), np.int64(789126240), np.int64(919763043), np.int64(5812994149), np.int64(1167891559), np.int64(1694807145), np.int64(1445914730), np.int64(911901802), np.int64(1292070004), np.int64(5813060726), np.int64(1441485942), np.int64(911906936), np.int64(449438847), np.int64(1261768832), np.int64(1167632513), np.int64(1260754053), np.int64(634962055), np.int64(1380495496), np.int64(1198943369), np.int64(5813038224), np.int64(572494993), np.int64(1566333075), np.int64(5813047446), np.int64(1035045015), np.int64(1415895200), np.int64(1446601889), np.int64(1201296549), np.int64(541127846), np.int64(1199017128), np.int64(725951660), np.int64(695956656), np.int64(1661799601), np.int64(1441486002), np.int64(1136861363), np.int64(912601268), np.int64(880530613), np.int64(1198680249), np.int64(910796989), np.int64(1131827390), np.int64(5901227201), np.int64(1199677638), np.int64(579268807), np.int64(5813027016), np.int64(1478296775), np.int64(1322129610), np.int64(918334668), np.int64(880875736), np.int64(508793049), np.int64(911897818), np.int64(850194651), np.int64(1224590555), np.int64(974645472), np.int64(850855138), np.int64(910442723), np.int64(1228683492), np.int64(789104870), np.int64(633200871), np.int64(1353526507), np.int64(1190171884), np.int64(1227263212), np.int64(972871918), np.int64(881898734), np.int64(663190769), np.int64(604242162), np.int64(910783731), np.int64(923809011), np.int64(1257301237), np.int64(1105882358), np.int64(911574261), np.int64(819828986), np.int64(5813059835), np.int64(1070439674), np.int64(1291103485), np.int64(1446592768), np.int64(910442752), np.int64(973894912), np.int64(1168064774), np.int64(1410450694), np.int64(1322133768), np.int64(911560974), np.int64(1062526223), np.int64(1168392468), np.int64(911911193), np.int64(509410587), np.int64(787762461), np.int64(910442782), np.int64(1411862814), np.int64(5813027103), np.int64(1198931241), np.int64(1730608428), np.int64(847336755), np.int64(911134009), np.int64(1067408697), np.int64(1322129724), np.int64(541870397), np.int64(1035955516), np.int64(1290770751), np.int64(1322133825), np.int64(1322129730), np.int64(910787908), np.int64(5813047626), np.int64(1004017998), np.int64(942491983), np.int64(1097347406), np.int64(912545106), 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np.int64(5813055913), np.int64(5813053866), np.int64(1352823209), np.int64(5813057963), np.int64(1167295916), np.int64(1198330286), np.int64(1198257581), np.int64(1229369776), np.int64(979752365), np.int64(1198684596), np.int64(910801332), np.int64(1601715638), np.int64(1002852791), np.int64(881527223), np.int64(695270840), np.int64(912488890), np.int64(5813056953), np.int64(541118908), np.int64(1348057533), np.int64(725942718), np.int64(1575079358), np.int64(1513674176), np.int64(849421763), np.int64(1137210821), np.int64(1036637638), np.int64(1294414279), np.int64(912147912), np.int64(1259718093), np.int64(1005710800), np.int64(696336849), np.int64(1229710803), np.int64(1631455700), np.int64(697014740), np.int64(1110640084), np.int64(879183317), np.int64(910783961), np.int64(1322138079), np.int64(910447075), np.int64(911578595), np.int64(634608104), np.int64(1415592424), np.int64(789070314), np.int64(633546217), np.int64(5813047793), np.int64(1220584946), np.int64(1167977970), 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np.int64(1034220115), np.int64(917647959), np.int64(1446601305), np.int64(5813049948), np.int64(1291094620), np.int64(1065410141), np.int64(911565408), np.int64(1218732640), np.int64(1167300194), np.int64(1132488293), np.int64(1198667367), np.int64(1478301287), np.int64(1168241257), np.int64(786013801), np.int64(911565419), np.int64(1631450739), np.int64(911129204), np.int64(1321140852), np.int64(1322832501), np.int64(1509336692), np.int64(1261000309), np.int64(941469301), np.int64(973963898), np.int64(1322466938), np.int64(5813070465), np.int64(880880259), np.int64(5813061251), np.int64(1167982211), np.int64(1198671494), np.int64(1158747783), np.int64(941810314), np.int64(819073675), np.int64(915273354), np.int64(1292807819), np.int64(941831818), np.int64(974239375), np.int64(699031185), np.int64(941132434), np.int64(881217171), np.int64(1508369047), np.int64(912243353), np.int64(1220576923), np.int64(1414910624), np.int64(1230121634), np.int64(942172835), np.int64(1194246820), 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np.int64(911470352), np.int64(1198330641), np.int64(1200053009), np.int64(911911699), np.int64(1446247191), np.int64(1198675740), np.int64(1449247522), np.int64(5812987684), np.int64(1137219365), np.int64(1261056809), np.int64(697001770), np.int64(911919917), np.int64(1322133296), np.int64(1198671672), np.int64(1036753721), np.int64(1536326457), np.int64(788794171), np.int64(1100792636), np.int64(1322142525), np.int64(5813045050), np.int64(1441485633), np.int64(1324145475), np.int64(1167641412), np.int64(1168392003), np.int64(1126647624), np.int64(1137288015), np.int64(1289359184), np.int64(757055317), np.int64(1125964630), np.int64(1167567702), np.int64(696362840), np.int64(734581598), np.int64(948709216), np.int64(1198693217), np.int64(943955813), np.int64(1509335918), np.int64(974300015), np.int64(5813047157), np.int64(1292846965), np.int64(1447262069), np.int64(1008028537), np.int64(1443579770), np.int64(1002507131), np.int64(1230480261), np.int64(726352774), np.int64(1291099014), np.int64(1199431561), np.int64(820144012), np.int64(1198334861), np.int64(5813080979), np.int64(1002507159), np.int64(664943511), np.int64(849763224), np.int64(1535298460), np.int64(1324430237), np.int64(1067409308), np.int64(1353544607), np.int64(1199712167), np.int64(5813020585), np.int64(1415255979), np.int64(5813024686), np.int64(1631787952), np.int64(1600083889), np.int64(664645558), np.int64(5812983734), np.int64(910438331), np.int64(663562172), np.int64(1066088381), np.int64(922146751), np.int64(1095275456), np.int64(1167895489), np.int64(1292151746), np.int64(1261760448), np.int64(911919044), np.int64(1036296133), np.int64(1004648397), np.int64(850492366), np.int64(758419409), np.int64(569775058), np.int64(5812983764), np.int64(912596952), np.int64(1167645658), np.int64(1260422110), np.int64(5813045216), np.int64(881458145), np.int64(1384177636), np.int64(1543025649), np.int64(978387957), np.int64(851170296), np.int64(1004014587), np.int64(1535652862)] as n_search_bodyId

MATCH (n:Neuron)

WHERE

// -- Basic conditions for segment 'n' --

n.bodyId in n_search_bodyId

WITH n

RETURN n.bodyId as bodyId,

n.type as type,

n.instance as instance

ORDER BY bodyId

Returned Error (400):

Unknown function 'np.int64' (line 1, column 11 (offset: 10))

"WITH [np.int64(941814787), np.int64(1601771527), np.int64(973959177), np.int64(942522378), np.int64(1106180107), np.int64(1383525390), np.int64(912894991), np.int64(1199712272), np.int64(1128088594), np.int64(1446933525), np.int64(911574041), np.int64(1322133531), np.int64(725951521), np.int64(1167965225), np.int64(1043825714), np.int64(1260828727), np.int64(1075499064), np.int64(1198680122), np.int64(1136865339), np.int64(1289700410), np.int64(880526398), np.int64(1660776511), np.int64(1168249921), np.int64(571140165), np.int64(1292847181), np.int64(5812983887), np.int64(1410450511), np.int64(5901208656), np.int64(1322142804), np.int64(1447576662), np.int64(1291444314), np.int64(911911004), np.int64(1537634396), np.int64(789126240), np.int64(919763043), np.int64(5812994149), np.int64(1167891559), np.int64(1694807145), np.int64(1445914730), np.int64(911901802), np.int64(1292070004), np.int64(5813060726), np.int64(1441485942), np.int64(911906936), np.int64(449438847), np.int64(1261768832), np.int64(1167632513), np.int64(1260754053), np.int64(634962055), np.int64(1380495496), np.int64(1198943369), np.int64(5813038224), np.int64(572494993), np.int64(1566333075), np.int64(5813047446), np.int64(1035045015), np.int64(1415895200), np.int64(1446601889), np.int64(1201296549), np.int64(541127846), np.int64(1199017128), np.int64(725951660), np.int64(695956656), np.int64(1661799601), np.int64(1441486002), np.int64(1136861363), np.int64(912601268), np.int64(880530613), np.int64(1198680249), np.int64(910796989), np.int64(1131827390), np.int64(5901227201), np.int64(1199677638), np.int64(579268807), np.int64(5813027016), np.int64(1478296775), np.int64(1322129610), np.int64(918334668), np.int64(880875736), np.int64(508793049), np.int64(911897818), np.int64(850194651), np.int64(1224590555), np.int64(974645472), np.int64(850855138), np.int64(910442723), np.int64(1228683492), np.int64(789104870), np.int64(633200871), np.int64(1353526507), np.int64(1190171884), np.int64(1227263212), np.int64(972871918), np.int64(881898734), np.int64(663190769), np.int64(604242162), np.int64(910783731), np.int64(923809011), np.int64(1257301237), np.int64(1105882358), np.int64(911574261), np.int64(819828986), np.int64(5813059835), np.int64(1070439674), np.int64(1291103485), np.int64(1446592768), np.int64(910442752), np.int64(973894912), np.int64(1168064774), np.int64(1410450694), np.int64(1322133768), np.int64(911560974), np.int64(1062526223), np.int64(1168392468), np.int64(911911193), np.int64(509410587), np.int64(787762461), np.int64(910442782), np.int64(1411862814), np.int64(5813027103), np.int64(1198931241), np.int64(1730608428), np.int64(847336755), np.int64(911134009), np.int64(1067408697), np.int64(1322129724), np.int64(541870397), np.int64(1035955516), np.int64(1290770751), np.int64(1322133825), np.int64(1322129730), np.int64(910787908), np.int64(5813047626), np.int64(1004017998), np.int64(942491983), np.int64(1097347406), np.int64(912545106), np.int64(1446251859), np.int64(880875861), np.int64(633200987), np.int64(882239837), np.int64(5813047647), np.int64(1322133858), np.int64(5813014882), np.int64(1353168228), np.int64(1168055653), np.int64(1446251879), np.int64(1198680426), np.int64(1167295853), np.int64(1167295856), np.int64(1167563121), np.int64(1450261872), np.int64(419060083), np.int64(1225601395), np.int64(1322129781), np.int64(693755250), np.int64(5813010807), np.int64(1539994995), np.int64(1198680441), np.int64(911138168), np.int64(1040393594), np.int64(1034219901), np.int64(417998204), np.int64(849059197), np.int64(911578496), np.int64(1167295872), np.int64(1167282562), np.int64(1322133891), np.int64(5812979082), np.int64(910783883), np.int64(1065409934), np.int64(5813050767), np.int64(978733459), np.int64(1002848661), np.int64(1193560469), np.int64(912925080), np.int64(1259386264), np.int64(1168059800), np.int64(786989471), np.int64(941469087), np.int64(1384562079), np.int64(1446938019), np.int64(1536986534), np.int64(5813055913), np.int64(5813053866), np.int64(1352823209), np.int64(5813057963), np.int64(1167295916), np.int64(1198330286), np.int64(1198257581), np.int64(1229369776), np.int64(979752365), np.int64(1198684596), np.int64(910801332), np.int64(1601715638), np.int64(1002852791), np.int64(881527223), np.int64(695270840), np.int64(912488890), np.int64(5813056953), np.int64(541118908), np.int64(1348057533), np.int64(725942718), np.int64(1575079358), np.int64(1513674176), np.int64(849421763), np.int64(1137210821), np.int64(1036637638), np.int64(1294414279), np.int64(912147912), np.int64(1259718093), np.int64(1005710800), np.int64(696336849), np.int64(1229710803), np.int64(1631455700), np.int64(697014740), np.int64(1110640084), np.int64(879183317), np.int64(910783961), np.int64(1322138079), np.int64(910447075), np.int64(911578595), np.int64(634608104), np.int64(1415592424), np.int64(789070314), np.int64(633546217), np.int64(5813047793), np.int64(1220584946), np.int64(1167977970), np.int64(942587380), np.int64(1230026228), np.int64(1355806197), np.int64(1512672758), np.int64(697014777), np.int64(1446942204), np.int64(1167896065), np.int64(665314820), np.int64(1384566288), np.int64(1198006801), np.int64(664235541), np.int64(911241750), np.int64(5812979222), np.int64(1168340507), np.int64(5812979230), np.int64(1291435551), np.int64(478375456), np.int64(727035427), np.int64(5813053988), np.int64(973954598), np.int64(5813012006), np.int64(1199699496), np.int64(1414875691), np.int64(1198413357), np.int64(881221166), np.int64(694920753), np.int64(758069811), np.int64(5813077556), np.int64(664650297), np.int64(1167300154), np.int64(5813048896), np.int64(1441481281), np.int64(1292803650), np.int64(663898692), np.int64(1259377221), np.int64(858587718), np.int64(697355847), np.int64(1290416713), np.int64(5813022281), np.int64(1199432267), np.int64(1127471692), np.int64(910447181), np.int64(1441485388), np.int64(1008378448), np.int64(942173776), np.int64(1324209745), np.int64(1034220115), np.int64(917647959), np.int64(1446601305), np.int64(5813049948), np.int64(1291094620), np.int64(1065410141), np.int64(911565408), np.int64(1218732640), np.int64(1167300194), np.int64(1132488293), np.int64(1198667367), np.int64(1478301287), np.int64(1168241257), np.int64(786013801), np.int64(911565419), np.int64(1631450739), np.int64(911129204), np.int64(1321140852), np.int64(1322832501), np.int64(1509336692), np.int64(1261000309), np.int64(941469301), np.int64(973963898), np.int64(1322466938), np.int64(5813070465), np.int64(880880259), np.int64(5813061251), np.int64(1167982211), np.int64(1198671494), np.int64(1158747783), np.int64(941810314), np.int64(819073675), np.int64(915273354), np.int64(1292807819), np.int64(941831818), np.int64(974239375), np.int64(699031185), np.int64(941132434), np.int64(881217171), np.int64(1508369047), np.int64(912243353), np.int64(1220576923), np.int64(1414910624), np.int64(1230121634), np.int64(942172835), np.int64(1194246820), np.int64(1230026402), np.int64(1230319275), np.int64(1259377325), np.int64(1291435693), np.int64(1441144493), np.int64(1168923315), np.int64(696682163), np.int64(1167904437), np.int64(1198326456), np.int64(911211196), np.int64(695326397), np.int64(1478309566), np.int64(1128097470), np.int64(539462336), np.int64(1005308608), np.int64(943269573), np.int64(850104005), np.int64(1228692168), np.int64(1600420555), np.int64(1543362253), np.int64(1167304403), np.int64(541119189), np.int64(1291094742), np.int64(695629525), np.int64(1192152791), np.int64(949710555), np.int64(941482720), np.int64(1199625952), np.int64(1446247138), np.int64(1105834722), np.int64(1508334312), np.int64(1318109929), np.int64(5813048042), np.int64(1198041835), np.int64(727350004), np.int64(5813020409), np.int64(5813057274), np.int64(911129339), np.int64(1292423935), np.int64(1004307201), np.int64(1167645442), np.int64(1447611141), np.int64(5813080838), np.int64(5813061383), np.int64(1446247177), np.int64(849482511), np.int64(911470352), np.int64(1198330641), np.int64(1200053009), np.int64(911911699), np.int64(1446247191), np.int64(1198675740), np.int64(1449247522), np.int64(5812987684), np.int64(1137219365), np.int64(1261056809), np.int64(697001770), np.int64(911919917), np.int64(1322133296), np.int64(1198671672), np.int64(1036753721), np.int64(1536326457), np.int64(788794171), np.int64(1100792636), np.int64(1322142525), np.int64(5813045050), np.int64(1441485633), np.int64(1324145475), np.int64(1167641412), np.int64(1168392003), np.int64(1126647624), np.int64(1137288015), np.int64(1289359184), np.int64(757055317), np.int64(1125964630), np.int64(1167567702), np.int64(696362840), np.int64(734581598), np.int64(948709216), np.int64(1198693217), np.int64(943955813), np.int64(1509335918), np.int64(974300015), np.int64(5813047157), np.int64(1292846965), np.int64(1447262069), np.int64(1008028537), np.int64(1443579770), np.int64(1002507131), np.int64(1230480261), np.int64(726352774), np.int64(1291099014), np.int64(1199431561), np.int64(820144012), np.int64(1198334861), np.int64(5813080979), np.int64(1002507159), np.int64(664943511), np.int64(849763224), np.int64(1535298460), np.int64(1324430237), np.int64(1067409308), np.int64(1353544607), np.int64(1199712167), np.int64(5813020585), np.int64(1415255979), np.int64(5813024686), np.int64(1631787952), np.int64(1600083889), np.int64(664645558), np.int64(5812983734), np.int64(910438331), np.int64(663562172), np.int64(1066088381), np.int64(922146751), np.int64(1095275456), np.int64(1167895489), np.int64(1292151746), np.int64(1261760448), np.int64(911919044), np.int64(1036296133), np.int64(1004648397), np.int64(850492366), np.int64(758419409), np.int64(569775058), np.int64(5812983764), np.int64(912596952), np.int64(1167645658), np.int64(1260422110), np.int64(5813045216), np.int64(881458145), np.int64(1384177636), np.int64(1543025649), np.int64(978387957), np.int64(851170296), np.int64(1004014587), np.int64(1535652862)] as n_search_bodyId"

However, I don't get an error if I specify a small number of sources and targets neurons.